{ "ownerDomain": "google.com", "ownerName": "Google", "canonicalName": "Vision", "documentationLink": "https://cloud.google.com/vision/", "title": "Cloud Vision API", "protocol": "rest", "revision": "20260501", "fullyEncodeReservedExpansion": true, "baseUrl": "https://vision.googleapis.com/", "servicePath": "", "schemas": { "GcsDestination": { "description": "The Google Cloud Storage location where the output will be written to.", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "id": "GcsDestination", "type": "object" }, "GoogleCloudVisionV1p4beta1Celebrity": { "description": "A Celebrity is a group of Faces with an identity.", "properties": { "name": { "description": "The resource name of the preloaded Celebrity. Has the format `builtin/{mid}`.", "type": "string" }, "displayName": { "description": "The Celebrity's display name.", "type": "string" }, "description": { "description": "The Celebrity's description.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1Celebrity", "type": "object" }, "ImageContext": { "description": "Image context and/or feature-specific parameters.", "properties": { "productSearchParams": { "$ref": "ProductSearchParams", "description": "Parameters for product search." }, "webDetectionParams": { "description": "Parameters for web detection.", "$ref": "WebDetectionParams" }, "languageHints": { "items": { "type": "string" }, "description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value yields the best results since it enables automatic language detection. For languages based on the Latin alphabet, setting `language_hints` is not needed. In rare cases, when the language of the text in the image is known, setting a hint will help get better results (although it will be a significant hindrance if the hint is wrong). Text detection returns an error if one or more of the specified languages is not one of the [supported languages](https://cloud.google.com/vision/docs/languages).", "type": "array" }, "latLongRect": { "description": "Not used.", "$ref": "LatLongRect" }, "cropHintsParams": { "description": "Parameters for crop hints annotation request.", "$ref": "CropHintsParams" }, "textDetectionParams": { "description": "Parameters for text detection and document text detection.", "$ref": "TextDetectionParams" } }, "id": "ImageContext", "type": "object" }, "Color": { "description": "Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to and from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of `java.awt.Color` in Java; it can also be trivially provided to UIColor's `+colorWithRed:green:blue:alpha` method in iOS; and, with just a little work, it can be easily formatted into a CSS `rgba()` string in JavaScript. This reference page doesn't have information about the absolute color space that should be used to interpret the RGB value—for example, sRGB, Adobe RGB, DCI-P3, and BT.2020. By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most `1e-5`. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha \u003c= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red \u003c\u003c 16) | (green \u003c\u003c 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i \u003c missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...", "properties": { "blue": { "type": "number", "format": "float", "description": "The amount of blue in the color as a value in the interval [0, 1]." }, "red": { "type": "number", "description": "The amount of red in the color as a value in the interval [0, 1].", "format": "float" }, "green": { "description": "The amount of green in the color as a value in the interval [0, 1].", "format": "float", "type": "number" }, "alpha": { "type": "number", "description": "The fraction of this color that should be applied to the pixel. That is, the final pixel color is defined by the equation: `pixel color = alpha * (this color) + (1.0 - alpha) * (background color)` This means that a value of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to a completely transparent color. This uses a wrapper message rather than a simple float scalar so that it is possible to distinguish between a default value and the value being unset. If omitted, this color object is rendered as a solid color (as if the alpha value had been explicitly given a value of 1.0).", "format": "float" } }, "id": "Color", "type": "object" }, "WebEntity": { "properties": { "entityId": { "description": "Opaque entity ID.", "type": "string" }, "score": { "type": "number", "format": "float", "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries." }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } }, "description": "Entity deduced from similar images on the Internet.", "id": "WebEntity", "type": "object" }, "GoogleCloudVisionV1p4beta1OperationMetadata": { "id": "GoogleCloudVisionV1p4beta1OperationMetadata", "type": "object", "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "type": "string", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation." }, "updateTime": { "type": "string", "format": "google-datetime", "description": "The time when the operation result was last updated." }, "createTime": { "format": "google-datetime", "description": "The time when the batch request was received.", "type": "string" } }, "description": "Contains metadata for the BatchAnnotateImages operation." }, "ProductSetPurgeConfig": { "id": "ProductSetPurgeConfig", "type": "object", "description": "Config to control which ProductSet contains the Products to be deleted.", "properties": { "productSetId": { "description": "The ProductSet that contains the Products to delete. If a Product is a member of product_set_id in addition to other ProductSets, the Product will still be deleted.", "type": "string" } } }, "AsyncAnnotateFileRequest": { "properties": { "features": { "description": "Required. Requested features.", "items": { "$ref": "Feature" }, "type": "array" }, "outputConfig": { "description": "Required. The desired output location and metadata (e.g. format).", "$ref": "OutputConfig" }, "inputConfig": { "$ref": "InputConfig", "description": "Required. Information about the input file." }, "imageContext": { "$ref": "ImageContext", "description": "Additional context that may accompany the image(s) in the file." } }, "description": "An offline file annotation request.", "id": "AsyncAnnotateFileRequest", "type": "object" }, "CropHintsAnnotation": { "properties": { "cropHints": { "type": "array", "items": { "$ref": "CropHint" }, "description": "Crop hint results." } }, "description": "Set of crop hints that are used to generate new crops when serving images.", "id": "CropHintsAnnotation", "type": "object" }, "AsyncBatchAnnotateImagesResponse": { "description": "Response to an async batch image annotation request.", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncBatchAnnotateImagesRequest.", "$ref": "OutputConfig" } }, "id": "AsyncBatchAnnotateImagesResponse", "type": "object" }, "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse": { "description": "The response for a single offline file annotation request.", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncAnnotateFileRequest.", "$ref": "GoogleCloudVisionV1p2beta1OutputConfig" } }, "id": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse", "type": "object" }, "GoogleCloudVisionV1p4beta1SafeSearchAnnotation": { "id": "GoogleCloudVisionV1p4beta1SafeSearchAnnotation", "type": "object", "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "properties": { "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "adult": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "violence": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals." }, "medical": { "description": "Likelihood that this is a medical image.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "spoof": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } } }, "GoogleCloudVisionV1p4beta1Position": { "id": "GoogleCloudVisionV1p4beta1Position", "type": "object", "properties": { "y": { "type": "number", "format": "float", "description": "Y coordinate." }, "z": { "format": "float", "description": "Z coordinate (or depth).", "type": "number" }, "x": { "format": "float", "description": "X coordinate.", "type": "number" } }, "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image." }, "GoogleCloudVisionV1p1beta1Symbol": { "id": "GoogleCloudVisionV1p1beta1Symbol", "type": "object", "description": "A single symbol representation.", "properties": { "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "property": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty", "description": "Additional information detected for the symbol." }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1]." } } }, "GoogleCloudVisionV1p4beta1ProductSearchResults": { "properties": { "indexTime": { "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "format": "google-datetime", "type": "string" }, "results": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match." }, "productGroupedResults": { "type": "array", "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult" } } }, "description": "Results for a product search request.", "id": "GoogleCloudVisionV1p4beta1ProductSearchResults", "type": "object" }, "WebLabel": { "id": "WebLabel", "type": "object", "description": "Label to provide extra metadata for the web detection.", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "ColorInfo": { "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "properties": { "color": { "description": "RGB components of the color.", "$ref": "Color" }, "pixelFraction": { "type": "number", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "format": "float" }, "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "format": "float", "type": "number" } }, "id": "ColorInfo", "type": "object" }, "GoogleCloudVisionV1p4beta1GcsSource": { "id": "GoogleCloudVisionV1p4beta1GcsSource", "type": "object", "description": "The Google Cloud Storage location where the input will be read from.", "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation": { "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation", "type": "object", "description": "Prediction for what the object in the bounding box is.", "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1WebDetectionWebEntity": { "id": "GoogleCloudVisionV1p4beta1WebDetectionWebEntity", "type": "object", "description": "Entity deduced from similar images on the Internet.", "properties": { "entityId": { "description": "Opaque entity ID.", "type": "string" }, "score": { "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "format": "float", "type": "number" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1WebDetectionWebEntity": { "properties": { "score": { "type": "number", "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "format": "float" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" }, "entityId": { "description": "Opaque entity ID.", "type": "string" } }, "description": "Entity deduced from similar images on the Internet.", "id": "GoogleCloudVisionV1p2beta1WebDetectionWebEntity", "type": "object" }, "GoogleCloudVisionV1p2beta1GcsDestination": { "id": "GoogleCloudVisionV1p2beta1GcsDestination", "type": "object", "description": "The Google Cloud Storage location where the output will be written to.", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } } }, "SafeSearchAnnotation": { "id": "SafeSearchAnnotation", "type": "object", "properties": { "racy": { "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "adult": { "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "violence": { "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "medical": { "description": "Likelihood that this is a medical image.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "spoof": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive." } }, "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence)." }, "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak": { "properties": { "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "description": "Detected break type.", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "type": "string" }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } }, "description": "Detected start or end of a structural component.", "id": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak", "type": "object" }, "AddProductToProductSetRequest": { "properties": { "product": { "description": "Required. The resource name for the Product to be added to this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string" } }, "description": "Request message for the `AddProductToProductSet` method.", "id": "AddProductToProductSetRequest", "type": "object" }, "BatchAnnotateFilesResponse": { "properties": { "responses": { "description": "The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.", "items": { "$ref": "AnnotateFileResponse" }, "type": "array" } }, "description": "A list of file annotation responses.", "id": "BatchAnnotateFilesResponse", "type": "object" }, "GoogleCloudVisionV1p4beta1ProductSearchResultsResult": { "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult", "type": "object", "description": "Information about a product.", "properties": { "product": { "description": "The Product.", "$ref": "GoogleCloudVisionV1p4beta1Product" }, "score": { "format": "float", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number" }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } } }, "KeyValue": { "id": "KeyValue", "type": "object", "properties": { "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "description": "A product label represented as a key-value pair." }, "GoogleCloudVisionV1p1beta1ProductKeyValue": { "id": "GoogleCloudVisionV1p1beta1ProductKeyValue", "type": "object", "description": "A product label represented as a key-value pair.", "properties": { "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1DominantColorsAnnotation": { "id": "GoogleCloudVisionV1p3beta1DominantColorsAnnotation", "type": "object", "properties": { "colors": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ColorInfo" }, "description": "RGB color values with their score and pixel fraction." } }, "description": "Set of dominant colors and their corresponding scores." }, "ProductSearchParams": { "id": "ProductSearchParams", "type": "object", "description": "Parameters for a product search request.", "properties": { "productSet": { "description": "The resource name of a ProductSet to be searched for similar images. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.", "type": "string" }, "filter": { "description": "The filtering expression. This can be used to restrict search results based on Product labels. We currently support an AND of OR of key-value expressions, where each expression within an OR must have the same key. An '=' should be used to connect the key and value. For example, \"(color = red OR color = blue) AND brand = Google\" is acceptable, but \"(color = red OR brand = Google)\" is not acceptable. \"color: red\" is not acceptable because it uses a ':' instead of an '='.", "type": "string" }, "productCategories": { "items": { "type": "string" }, "description": "The list of product categories to search in. Currently, we only consider the first category, and either \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\", or \"general-v1\" should be specified. The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported but will be deprecated. For new products, please use \"homegoods-v2\", \"apparel-v2\", or \"toys-v2\" for better product search accuracy. It is recommended to migrate existing products to these categories as well.", "type": "array" }, "boundingPoly": { "description": "The bounding polygon around the area of interest in the image. If it is not specified, system discretion will be applied.", "$ref": "BoundingPoly" } } }, "GoogleCloudVisionV1p3beta1Vertex": { "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "properties": { "x": { "description": "X coordinate.", "format": "int32", "type": "integer" }, "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" } }, "id": "GoogleCloudVisionV1p3beta1Vertex", "type": "object" }, "GoogleCloudVisionV1p3beta1LocationInfo": { "id": "GoogleCloudVisionV1p3beta1LocationInfo", "type": "object", "properties": { "latLng": { "description": "lat/long location coordinates.", "$ref": "LatLng" } }, "description": "Detected entity location information." }, "LocalizedObjectAnnotation": { "id": "LocalizedObjectAnnotation", "type": "object", "properties": { "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "boundingPoly": { "description": "Image region to which this object belongs. This must be populated.", "$ref": "BoundingPoly" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Set of detected objects with bounding boxes." }, "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty": { "description": "Additional information detected on the structural component.", "properties": { "detectedLanguages": { "description": "A list of detected languages together with confidence.", "items": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage" }, "type": "array" }, "detectedBreak": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." } }, "id": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty", "type": "object" }, "GoogleCloudVisionV1p1beta1Product": { "id": "GoogleCloudVisionV1p1beta1Product", "type": "object", "properties": { "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "productLabels": { "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductKeyValue" }, "type": "array" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } }, "description": "A Product contains ReferenceImages." }, "WebDetectionParams": { "properties": { "includeGeoResults": { "deprecated": true, "type": "boolean", "description": "This field has no effect on results." } }, "description": "Parameters for web detection request.", "id": "WebDetectionParams", "type": "object" }, "InputConfig": { "id": "InputConfig", "type": "object", "description": "The desired input location and metadata.", "properties": { "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "format": "byte", "type": "string" }, "gcsSource": { "description": "The Google Cloud Storage location to read the input from.", "$ref": "GcsSource" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1SafeSearchAnnotation": { "properties": { "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "adult": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities." }, "violence": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "medical": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this is a medical image.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "spoof": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } }, "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "id": "GoogleCloudVisionV1p2beta1SafeSearchAnnotation", "type": "object" }, "GoogleCloudVisionV1p1beta1ImageProperties": { "id": "GoogleCloudVisionV1p1beta1ImageProperties", "type": "object", "description": "Stores image properties, such as dominant colors.", "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p1beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } } }, "GoogleCloudVisionV1p2beta1ImageAnnotationContext": { "id": "GoogleCloudVisionV1p2beta1ImageAnnotationContext", "type": "object", "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "properties": { "pageNumber": { "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "format": "int32", "type": "integer" }, "uri": { "description": "The URI of the file used to produce the image.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1AnnotateImageResponse": { "properties": { "logoAnnotations": { "type": "array", "description": "If present, logo detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" } }, "labelAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" }, "description": "If present, label detection has completed successfully.", "type": "array" }, "safeSearchAnnotation": { "description": "If present, safe-search annotation has completed successfully.", "$ref": "GoogleCloudVisionV1p2beta1SafeSearchAnnotation" }, "faceAnnotations": { "type": "array", "description": "If present, face detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p2beta1FaceAnnotation" } }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "$ref": "GoogleCloudVisionV1p2beta1ImageAnnotationContext", "description": "If present, contextual information is needed to understand where this image comes from." }, "fullTextAnnotation": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "webDetection": { "$ref": "GoogleCloudVisionV1p2beta1WebDetection", "description": "If present, web detection has completed successfully." }, "localizedObjectAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array" }, "textAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully.", "type": "array" }, "imagePropertiesAnnotation": { "$ref": "GoogleCloudVisionV1p2beta1ImageProperties", "description": "If present, image properties were extracted successfully." }, "landmarkAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" }, "description": "If present, landmark detection has completed successfully.", "type": "array" }, "cropHintsAnnotation": { "description": "If present, crop hints have completed successfully.", "$ref": "GoogleCloudVisionV1p2beta1CropHintsAnnotation" } }, "description": "Response to an image annotation request.", "id": "GoogleCloudVisionV1p2beta1AnnotateImageResponse", "type": "object" }, "GoogleCloudVisionV1p3beta1AnnotateImageResponse": { "description": "Response to an image annotation request.", "properties": { "labelAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, label detection has completed successfully." }, "safeSearchAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "logoAnnotations": { "type": "array", "description": "If present, logo detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" } }, "webDetection": { "description": "If present, web detection has completed successfully.", "$ref": "GoogleCloudVisionV1p3beta1WebDetection" }, "fullTextAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "faceAnnotations": { "type": "array", "description": "If present, face detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p3beta1FaceAnnotation" } }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "$ref": "GoogleCloudVisionV1p3beta1ImageAnnotationContext", "description": "If present, contextual information is needed to understand where this image comes from." }, "textAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully." }, "localizedObjectAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score." }, "cropHintsAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "imagePropertiesAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1ImageProperties", "description": "If present, image properties were extracted successfully." }, "landmarkAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, landmark detection has completed successfully." } }, "id": "GoogleCloudVisionV1p3beta1AnnotateImageResponse", "type": "object" }, "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation": { "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "type": "number", "format": "float", "description": "Score of the result. Range [0, 1]." }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Prediction for what the object in the bounding box is.", "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation", "type": "object" }, "GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse": { "properties": { "responses": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse" }, "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest." } }, "description": "Response to an async batch file annotation request.", "id": "GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse", "type": "object" }, "GoogleCloudVisionV1p4beta1Symbol": { "id": "GoogleCloudVisionV1p4beta1Symbol", "type": "object", "description": "A single symbol representation.", "properties": { "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected for the symbol." }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number" } } }, "BatchAnnotateImagesRequest": { "id": "BatchAnnotateImagesRequest", "type": "object", "description": "Multiple image annotation requests are batched into a single service call.", "properties": { "requests": { "items": { "$ref": "AnnotateImageRequest" }, "description": "Required. Individual image annotation requests for this batch.", "type": "array" }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" }, "labels": { "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "additionalProperties": { "type": "string" }, "type": "object" } } }, "GoogleCloudVisionV1p2beta1Position": { "id": "GoogleCloudVisionV1p2beta1Position", "type": "object", "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "properties": { "x": { "type": "number", "description": "X coordinate.", "format": "float" }, "y": { "description": "Y coordinate.", "format": "float", "type": "number" }, "z": { "type": "number", "format": "float", "description": "Z coordinate (or depth)." } } }, "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark": { "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "properties": { "type": { "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "description": "Face landmark type.", "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p4beta1Position" } }, "id": "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark", "type": "object" }, "GoogleCloudVisionV1p3beta1WebDetectionWebImage": { "description": "Metadata for online images.", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the image.", "type": "number" } }, "id": "GoogleCloudVisionV1p3beta1WebDetectionWebImage", "type": "object" }, "GoogleCloudVisionV1p1beta1WebDetection": { "description": "Relevant information for the image from the Internet.", "properties": { "pagesWithMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebPage" }, "description": "Web pages containing the matching images from the Internet.", "type": "array" }, "visuallySimilarImages": { "type": "array", "description": "The visually similar image results.", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" } }, "webEntities": { "description": "Deduced entities from similar images on the Internet.", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebEntity" }, "type": "array" }, "bestGuessLabels": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebLabel" }, "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web." }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "fullMatchingImages": { "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "type": "array" } }, "id": "GoogleCloudVisionV1p1beta1WebDetection", "type": "object" }, "GoogleCloudVisionV1p4beta1Property": { "id": "GoogleCloudVisionV1p4beta1Property", "type": "object", "properties": { "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" }, "uint64Value": { "description": "Value of numeric properties.", "format": "uint64", "type": "string" } }, "description": "A `Property` consists of a user-supplied name/value pair." }, "GoogleCloudVisionV1p3beta1Property": { "properties": { "uint64Value": { "description": "Value of numeric properties.", "format": "uint64", "type": "string" }, "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" } }, "description": "A `Property` consists of a user-supplied name/value pair.", "id": "GoogleCloudVisionV1p3beta1Property", "type": "object" }, "TextProperty": { "id": "TextProperty", "type": "object", "description": "Additional information detected on the structural component.", "properties": { "detectedLanguages": { "type": "array", "items": { "$ref": "DetectedLanguage" }, "description": "A list of detected languages together with confidence." }, "detectedBreak": { "$ref": "DetectedBreak", "description": "Detected start or end of a text segment." } } }, "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation": { "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "format": "float", "type": "number" } }, "description": "Prediction for what the object in the bounding box is.", "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation", "type": "object" }, "RemoveProductFromProductSetRequest": { "id": "RemoveProductFromProductSetRequest", "type": "object", "properties": { "product": { "description": "Required. The resource name for the Product to be removed from this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string" } }, "description": "Request message for the `RemoveProductFromProductSet` method." }, "GoogleCloudVisionV1p3beta1ProductKeyValue": { "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "description": "A product label represented as a key-value pair.", "id": "GoogleCloudVisionV1p3beta1ProductKeyValue", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty": { "id": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "type": "object", "description": "Additional information detected on the structural component.", "properties": { "detectedLanguages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage" }, "description": "A list of detected languages together with confidence." }, "detectedBreak": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." } } }, "GoogleCloudVisionV1p1beta1BoundingPoly": { "id": "GoogleCloudVisionV1p1beta1BoundingPoly", "type": "object", "description": "A bounding polygon for the detected image annotation.", "properties": { "vertices": { "description": "The bounding polygon vertices.", "items": { "$ref": "GoogleCloudVisionV1p1beta1Vertex" }, "type": "array" }, "normalizedVertices": { "items": { "$ref": "GoogleCloudVisionV1p1beta1NormalizedVertex" }, "description": "The bounding polygon normalized vertices.", "type": "array" } } }, "GoogleCloudVisionV1p3beta1GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "description": "The Google Cloud Storage location where the input will be read from.", "id": "GoogleCloudVisionV1p3beta1GcsSource", "type": "object" }, "GoogleCloudVisionV1p2beta1ImageProperties": { "properties": { "dominantColors": { "description": "If present, dominant colors completed successfully.", "$ref": "GoogleCloudVisionV1p2beta1DominantColorsAnnotation" } }, "description": "Stores image properties, such as dominant colors.", "id": "GoogleCloudVisionV1p2beta1ImageProperties", "type": "object" }, "GoogleCloudVisionV1p4beta1CropHint": { "properties": { "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale." }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" }, "importanceFraction": { "type": "number", "description": "Fraction of importance of this salient region with respect to the original image.", "format": "float" } }, "description": "Single crop hint that is used to generate a new crop when serving an image.", "id": "GoogleCloudVisionV1p4beta1CropHint", "type": "object" }, "GoogleCloudVisionV1p3beta1WebDetectionWebEntity": { "id": "GoogleCloudVisionV1p3beta1WebDetectionWebEntity", "type": "object", "properties": { "score": { "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "format": "float", "type": "number" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" }, "entityId": { "description": "Opaque entity ID.", "type": "string" } }, "description": "Entity deduced from similar images on the Internet." }, "ImportProductSetsInputConfig": { "description": "The input content for the `ImportProductSets` method.", "properties": { "gcsSource": { "description": "The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.", "$ref": "ImportProductSetsGcsSource" } }, "id": "ImportProductSetsInputConfig", "type": "object" }, "GoogleCloudVisionV1p3beta1ProductSearchResultsResult": { "description": "Information about a product.", "properties": { "product": { "description": "The Product.", "$ref": "GoogleCloudVisionV1p3beta1Product" }, "score": { "type": "number", "format": "float", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence)." }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult", "type": "object" }, "GoogleCloudVisionV1p2beta1WebDetectionWebImage": { "description": "Metadata for online images.", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the image.", "format": "float", "type": "number" } }, "id": "GoogleCloudVisionV1p2beta1WebDetectionWebImage", "type": "object" }, "GoogleCloudVisionV1p2beta1LocationInfo": { "id": "GoogleCloudVisionV1p2beta1LocationInfo", "type": "object", "properties": { "latLng": { "description": "lat/long location coordinates.", "$ref": "LatLng" } }, "description": "Detected entity location information." }, "GoogleCloudVisionV1p4beta1ColorInfo": { "properties": { "score": { "type": "number", "format": "float", "description": "Image-specific score for this color. Value in range [0, 1]." }, "pixelFraction": { "type": "number", "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1]." }, "color": { "$ref": "Color", "description": "RGB components of the color." } }, "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "id": "GoogleCloudVisionV1p4beta1ColorInfo", "type": "object" }, "GoogleCloudVisionV1p4beta1FaceAnnotation": { "properties": { "landmarks": { "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark" }, "description": "Detected face landmarks.", "type": "array" }, "blurredLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Blurred likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Surprise likelihood." }, "joyLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Joy likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "landmarkingConfidence": { "type": "number", "format": "float", "description": "Face landmarking confidence. Range [0, 1]." }, "angerLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Anger likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "headwearLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Headwear likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "underExposedLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Under-exposed likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "rollAngle": { "type": "number", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "format": "float" }, "recognitionResult": { "type": "array", "description": "Additional recognition information. Only computed if image_context.face_recognition_params is provided, **and** a match is found to a Celebrity in the input CelebritySet. This field is sorted in order of decreasing confidence values.", "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceRecognitionResult" } }, "detectionConfidence": { "description": "Detection confidence. Range [0, 1].", "format": "float", "type": "number" }, "fdBoundingPoly": { "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "panAngle": { "format": "float", "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number" }, "tiltAngle": { "type": "number", "format": "float", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]." }, "sorrowLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Sorrow likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" } }, "description": "A face annotation object contains the results of face detection.", "id": "GoogleCloudVisionV1p4beta1FaceAnnotation", "type": "object" }, "Property": { "id": "Property", "type": "object", "properties": { "uint64Value": { "type": "string", "description": "Value of numeric properties.", "format": "uint64" }, "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" } }, "description": "A `Property` consists of a user-supplied name/value pair." }, "GoogleCloudVisionV1p3beta1InputConfig": { "description": "The desired input location and metadata.", "properties": { "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" }, "content": { "format": "byte", "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string" }, "gcsSource": { "description": "The Google Cloud Storage location to read the input from.", "$ref": "GoogleCloudVisionV1p3beta1GcsSource" } }, "id": "GoogleCloudVisionV1p3beta1InputConfig", "type": "object" }, "GoogleCloudVisionV1p1beta1FaceAnnotation": { "id": "GoogleCloudVisionV1p1beta1FaceAnnotation", "type": "object", "description": "A face annotation object contains the results of face detection.", "properties": { "joyLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Joy likelihood." }, "landmarkingConfidence": { "type": "number", "description": "Face landmarking confidence. Range [0, 1].", "format": "float" }, "angerLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Anger likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "landmarks": { "items": { "$ref": "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark" }, "description": "Detected face landmarks.", "type": "array" }, "blurredLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Blurred likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "surpriseLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Surprise likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "underExposedLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Under-exposed likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "rollAngle": { "type": "number", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "format": "float" }, "detectionConfidence": { "format": "float", "description": "Detection confidence. Range [0, 1].", "type": "number" }, "headwearLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Headwear likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "fdBoundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "format": "float", "type": "number" }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "tiltAngle": { "type": "number", "format": "float", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]." }, "sorrowLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Sorrow likelihood." } } }, "GoogleCloudVisionV1p4beta1NormalizedVertex": { "id": "GoogleCloudVisionV1p4beta1NormalizedVertex", "type": "object", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "properties": { "y": { "type": "number", "format": "float", "description": "Y coordinate." }, "x": { "format": "float", "description": "X coordinate.", "type": "number" } } }, "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage": { "description": "Detected language for a structural component.", "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of detected language. Range [0, 1]." } }, "id": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage", "type": "object" }, "DominantColorsAnnotation": { "properties": { "colors": { "type": "array", "description": "RGB color values with their score and pixel fraction.", "items": { "$ref": "ColorInfo" } } }, "description": "Set of dominant colors and their corresponding scores.", "id": "DominantColorsAnnotation", "type": "object" }, "GoogleCloudVisionV1p4beta1OutputConfig": { "description": "The desired output location and metadata.", "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p4beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "type": "integer", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "format": "int32" } }, "id": "GoogleCloudVisionV1p4beta1OutputConfig", "type": "object" }, "GoogleCloudVisionV1p1beta1Paragraph": { "description": "Structural unit of text representing a number of words in certain order.", "properties": { "words": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Word" }, "description": "List of all words in this paragraph.", "type": "array" }, "property": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty", "description": "Additional information detected for the paragraph." }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the paragraph. Range [0, 1]." }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" } }, "id": "GoogleCloudVisionV1p1beta1Paragraph", "type": "object" }, "GoogleCloudVisionV1p3beta1ColorInfo": { "id": "GoogleCloudVisionV1p3beta1ColorInfo", "type": "object", "properties": { "pixelFraction": { "type": "number", "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1]." }, "color": { "$ref": "Color", "description": "RGB components of the color." }, "score": { "format": "float", "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number" } }, "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image." }, "GoogleCloudVisionV1p2beta1Symbol": { "id": "GoogleCloudVisionV1p2beta1Symbol", "type": "object", "description": "A single symbol representation.", "properties": { "property": { "description": "Additional information detected for the symbol.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1]." }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" } } }, "OperationMetadata": { "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "type": "string", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation." }, "updateTime": { "type": "string", "format": "google-datetime", "description": "The time when the operation result was last updated." }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time when the batch request was received." } }, "description": "Contains metadata for the BatchAnnotateImages operation.", "id": "OperationMetadata", "type": "object" }, "GoogleCloudVisionV1p1beta1ImageAnnotationContext": { "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "format": "int32", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer" } }, "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "id": "GoogleCloudVisionV1p1beta1ImageAnnotationContext", "type": "object" }, "LatLongRect": { "properties": { "minLatLng": { "description": "Min lat/long pair.", "$ref": "LatLng" }, "maxLatLng": { "description": "Max lat/long pair.", "$ref": "LatLng" } }, "description": "Rectangle determined by min and max `LatLng` pairs.", "id": "LatLongRect", "type": "object" }, "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse": { "properties": { "outputConfig": { "description": "The output location and metadata from AsyncBatchAnnotateImagesRequest.", "$ref": "GoogleCloudVisionV1p4beta1OutputConfig" } }, "description": "Response to an async batch image annotation request.", "id": "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse", "type": "object" }, "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse": { "id": "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse", "type": "object", "description": "The response for a single offline file annotation request.", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncAnnotateFileRequest.", "$ref": "GoogleCloudVisionV1p3beta1OutputConfig" } } }, "GoogleCloudVisionV1p4beta1Block": { "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "paragraphs": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Paragraph" }, "description": "List of paragraphs in this block (if this blocks is of type text)." }, "blockType": { "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "type": "string", "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block." }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number" }, "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty" } }, "description": "Logical element on the page.", "id": "GoogleCloudVisionV1p4beta1Block", "type": "object" }, "GoogleCloudVisionV1p4beta1Paragraph": { "id": "GoogleCloudVisionV1p4beta1Paragraph", "type": "object", "description": "Structural unit of text representing a number of words in certain order.", "properties": { "words": { "description": "List of all words in this paragraph.", "items": { "$ref": "GoogleCloudVisionV1p4beta1Word" }, "type": "array" }, "property": { "description": "Additional information detected for the paragraph.", "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty" }, "confidence": { "type": "number", "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "format": "float" }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" } } }, "GoogleCloudVisionV1p2beta1OutputConfig": { "id": "GoogleCloudVisionV1p2beta1OutputConfig", "type": "object", "description": "The desired output location and metadata.", "properties": { "gcsDestination": { "description": "The Google Cloud Storage location to write the output(s) to.", "$ref": "GoogleCloudVisionV1p2beta1GcsDestination" }, "batchSize": { "type": "integer", "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations." } } }, "GoogleCloudVisionV1p1beta1ColorInfo": { "id": "GoogleCloudVisionV1p1beta1ColorInfo", "type": "object", "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "properties": { "color": { "description": "RGB components of the color.", "$ref": "Color" }, "pixelFraction": { "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "format": "float", "type": "number" }, "score": { "type": "number", "format": "float", "description": "Image-specific score for this color. Value in range [0, 1]." } } }, "GoogleCloudVisionV1p2beta1TextAnnotation": { "id": "GoogleCloudVisionV1p2beta1TextAnnotation", "type": "object", "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "properties": { "text": { "description": "UTF-8 text detected on the pages.", "type": "string" }, "pages": { "description": "List of pages detected by OCR.", "items": { "$ref": "GoogleCloudVisionV1p2beta1Page" }, "type": "array" } } }, "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation": { "id": "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation", "type": "object", "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "boundingPoly": { "description": "Image region to which this object belongs. This must be populated.", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "format": "float", "type": "number" } }, "description": "Set of detected objects with bounding boxes." }, "GoogleCloudVisionV1p3beta1GcsDestination": { "description": "The Google Cloud Storage location where the output will be written to.", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1GcsDestination", "type": "object" }, "GoogleCloudVisionV1p1beta1GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "description": "The Google Cloud Storage location where the input will be read from.", "id": "GoogleCloudVisionV1p1beta1GcsSource", "type": "object" }, "GoogleCloudVisionV1p3beta1BoundingPoly": { "properties": { "vertices": { "description": "The bounding polygon vertices.", "items": { "$ref": "GoogleCloudVisionV1p3beta1Vertex" }, "type": "array" }, "normalizedVertices": { "items": { "$ref": "GoogleCloudVisionV1p3beta1NormalizedVertex" }, "description": "The bounding polygon normalized vertices.", "type": "array" } }, "description": "A bounding polygon for the detected image annotation.", "id": "GoogleCloudVisionV1p3beta1BoundingPoly", "type": "object" }, "GoogleCloudVisionV1p1beta1Position": { "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "properties": { "x": { "description": "X coordinate.", "format": "float", "type": "number" }, "y": { "type": "number", "description": "Y coordinate.", "format": "float" }, "z": { "description": "Z coordinate (or depth).", "format": "float", "type": "number" } }, "id": "GoogleCloudVisionV1p1beta1Position", "type": "object" }, "GoogleCloudVisionV1p4beta1WebDetectionWebImage": { "id": "GoogleCloudVisionV1p4beta1WebDetectionWebImage", "type": "object", "description": "Metadata for online images.", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the image.", "format": "float", "type": "number" } } }, "GoogleCloudVisionV1p3beta1WebDetectionWebPage": { "id": "GoogleCloudVisionV1p3beta1WebDetectionWebPage", "type": "object", "description": "Metadata for web pages.", "properties": { "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "format": "float", "type": "number" }, "url": { "description": "The result web page URL.", "type": "string" }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array" }, "partialMatchingImages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops." } } }, "GoogleCloudVisionV1p2beta1InputConfig": { "id": "GoogleCloudVisionV1p2beta1InputConfig", "type": "object", "properties": { "gcsSource": { "$ref": "GoogleCloudVisionV1p2beta1GcsSource", "description": "The Google Cloud Storage location to read the input from." }, "content": { "format": "byte", "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } }, "description": "The desired input location and metadata." }, "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation": { "id": "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation", "type": "object", "properties": { "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "boundingPoly": { "description": "Image region to which this object belongs. This must be populated.", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" } }, "description": "Set of detected objects with bounding boxes." }, "GoogleCloudVisionV1p4beta1Page": { "id": "GoogleCloudVisionV1p4beta1Page", "type": "object", "description": "Detected page from OCR.", "properties": { "blocks": { "description": "List of blocks of text, images etc on this page.", "items": { "$ref": "GoogleCloudVisionV1p4beta1Block" }, "type": "array" }, "confidence": { "description": "Confidence of the OCR results on the page. Range [0, 1].", "format": "float", "type": "number" }, "height": { "type": "integer", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32" }, "width": { "type": "integer", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32" }, "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty" } } }, "CropHint": { "description": "Single crop hint that is used to generate a new crop when serving an image.", "properties": { "boundingPoly": { "$ref": "BoundingPoly", "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale." }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" }, "importanceFraction": { "type": "number", "format": "float", "description": "Fraction of importance of this salient region with respect to the original image." } }, "id": "CropHint", "type": "object" }, "BatchOperationMetadata": { "id": "BatchOperationMetadata", "type": "object", "properties": { "state": { "type": "string", "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ] }, "endTime": { "format": "google-datetime", "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "type": "string" }, "submitTime": { "type": "string", "format": "google-datetime", "description": "The time when the batch request was submitted to the server." } }, "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service." }, "GoogleCloudVisionV1p4beta1Word": { "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected for the word." }, "symbols": { "items": { "$ref": "GoogleCloudVisionV1p4beta1Symbol" }, "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array" }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "format": "float", "type": "number" } }, "description": "A word representation.", "id": "GoogleCloudVisionV1p4beta1Word", "type": "object" }, "ObjectAnnotation": { "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Prediction for what the object in the bounding box is.", "id": "ObjectAnnotation", "type": "object" }, "BatchAnnotateImagesResponse": { "id": "BatchAnnotateImagesResponse", "type": "object", "properties": { "responses": { "type": "array", "description": "Individual responses to image annotation requests within the batch.", "items": { "$ref": "AnnotateImageResponse" } } }, "description": "Response to a batch image annotation request." }, "GoogleCloudVisionV1p2beta1AnnotateFileResponse": { "properties": { "totalPages": { "type": "integer", "format": "int32", "description": "This field gives the total number of pages in the file." }, "responses": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1AnnotateImageResponse" }, "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set." }, "error": { "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case.", "$ref": "Status" }, "inputConfig": { "$ref": "GoogleCloudVisionV1p2beta1InputConfig", "description": "Information about the file for which this response is generated." } }, "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "id": "GoogleCloudVisionV1p2beta1AnnotateFileResponse", "type": "object" }, "LatLng": { "properties": { "latitude": { "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", "format": "double", "type": "number" }, "longitude": { "type": "number", "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", "format": "double" } }, "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", "id": "LatLng", "type": "object" }, "GoogleCloudVisionV1p4beta1Product": { "description": "A Product contains ReferenceImages.", "properties": { "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" }, "productLabels": { "type": "array", "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductKeyValue" } } }, "id": "GoogleCloudVisionV1p4beta1Product", "type": "object" }, "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage": { "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "description": "Confidence of detected language. Range [0, 1].", "format": "float", "type": "number" } }, "description": "Detected language for a structural component.", "id": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage", "type": "object" }, "TextAnnotation": { "properties": { "text": { "description": "UTF-8 text detected on the pages.", "type": "string" }, "pages": { "type": "array", "items": { "$ref": "Page" }, "description": "List of pages detected by OCR." } }, "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "id": "TextAnnotation", "type": "object" }, "WebDetection": { "description": "Relevant information for the image from the Internet.", "properties": { "pagesWithMatchingImages": { "items": { "$ref": "WebPage" }, "description": "Web pages containing the matching images from the Internet.", "type": "array" }, "visuallySimilarImages": { "type": "array", "items": { "$ref": "WebImage" }, "description": "The visually similar image results." }, "webEntities": { "items": { "$ref": "WebEntity" }, "description": "Deduced entities from similar images on the Internet.", "type": "array" }, "bestGuessLabels": { "type": "array", "items": { "$ref": "WebLabel" }, "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web." }, "partialMatchingImages": { "type": "array", "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "items": { "$ref": "WebImage" } }, "fullMatchingImages": { "type": "array", "items": { "$ref": "WebImage" }, "description": "Fully matching images from the Internet. Can include resized copies of the query image." } }, "id": "WebDetection", "type": "object" }, "GoogleCloudVisionV1p3beta1Word": { "id": "GoogleCloudVisionV1p3beta1Word", "type": "object", "description": "A word representation.", "properties": { "boundingBox": { "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "property": { "description": "Additional information detected for the word.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "symbols": { "type": "array", "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "items": { "$ref": "GoogleCloudVisionV1p3beta1Symbol" } }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "format": "float", "type": "number" } } }, "GoogleCloudVisionV1p3beta1Position": { "id": "GoogleCloudVisionV1p3beta1Position", "type": "object", "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "properties": { "x": { "description": "X coordinate.", "format": "float", "type": "number" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" }, "z": { "format": "float", "description": "Z coordinate (or depth).", "type": "number" } } }, "ListOperationsResponse": { "properties": { "nextPageToken": { "description": "The standard List next-page token.", "type": "string" }, "operations": { "type": "array", "items": { "$ref": "Operation" }, "description": "A list of operations that matches the specified filter in the request." }, "unreachable": { "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "items": { "type": "string" }, "type": "array" } }, "description": "The response message for Operations.ListOperations.", "id": "ListOperationsResponse", "type": "object" }, "BatchAnnotateFilesRequest": { "properties": { "labels": { "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "additionalProperties": { "type": "string" }, "type": "object" }, "requests": { "type": "array", "items": { "$ref": "AnnotateFileRequest" }, "description": "Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest." }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" } }, "description": "A list of requests to annotate files using the BatchAnnotateFiles API.", "id": "BatchAnnotateFilesRequest", "type": "object" }, "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark": { "id": "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark", "type": "object", "properties": { "type": { "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ], "description": "Face landmark type.", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "type": "string" }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p3beta1Position" } }, "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`." }, "GoogleCloudVisionV1p3beta1NormalizedVertex": { "id": "GoogleCloudVisionV1p3beta1NormalizedVertex", "type": "object", "properties": { "y": { "type": "number", "description": "Y coordinate.", "format": "float" }, "x": { "type": "number", "format": "float", "description": "X coordinate." } }, "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1." }, "GoogleCloudVisionV1p2beta1NormalizedVertex": { "id": "GoogleCloudVisionV1p2beta1NormalizedVertex", "type": "object", "properties": { "y": { "format": "float", "description": "Y coordinate.", "type": "number" }, "x": { "type": "number", "format": "float", "description": "X coordinate." } }, "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1." }, "GoogleCloudVisionV1p2beta1Paragraph": { "id": "GoogleCloudVisionV1p2beta1Paragraph", "type": "object", "description": "Structural unit of text representing a number of words in certain order.", "properties": { "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "words": { "description": "List of all words in this paragraph.", "items": { "$ref": "GoogleCloudVisionV1p2beta1Word" }, "type": "array" }, "property": { "description": "Additional information detected for the paragraph.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "confidence": { "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "format": "float", "type": "number" } } }, "GoogleCloudVisionV1p2beta1DominantColorsAnnotation": { "id": "GoogleCloudVisionV1p2beta1DominantColorsAnnotation", "type": "object", "description": "Set of dominant colors and their corresponding scores.", "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "items": { "$ref": "GoogleCloudVisionV1p2beta1ColorInfo" }, "type": "array" } } }, "Result": { "description": "Information about a product.", "properties": { "product": { "$ref": "Product", "description": "The Product." }, "score": { "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "format": "float", "type": "number" }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } }, "id": "Result", "type": "object" }, "ImportProductSetsResponse": { "id": "ImportProductSetsResponse", "type": "object", "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.", "properties": { "referenceImages": { "type": "array", "description": "The list of reference_images that are imported successfully.", "items": { "$ref": "ReferenceImage" } }, "statuses": { "type": "array", "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.", "items": { "$ref": "Status" } } } }, "GoogleCloudVisionV1p1beta1OutputConfig": { "id": "GoogleCloudVisionV1p1beta1OutputConfig", "type": "object", "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p1beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "type": "integer", "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations." } }, "description": "The desired output location and metadata." }, "AsyncAnnotateFileResponse": { "id": "AsyncAnnotateFileResponse", "type": "object", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncAnnotateFileRequest.", "$ref": "OutputConfig" } }, "description": "The response for a single offline file annotation request." }, "GoogleCloudVisionV1p2beta1ColorInfo": { "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "properties": { "color": { "description": "RGB components of the color.", "$ref": "Color" }, "pixelFraction": { "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "format": "float", "type": "number" }, "score": { "format": "float", "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p2beta1ColorInfo", "type": "object" }, "ListReferenceImagesResponse": { "description": "Response message for the `ListReferenceImages` method.", "properties": { "referenceImages": { "type": "array", "description": "The list of reference images.", "items": { "$ref": "ReferenceImage" } }, "pageSize": { "type": "integer", "description": "The maximum number of items to return. Default 10, maximum 100.", "format": "int32" }, "nextPageToken": { "description": "The next_page_token returned from a previous List request, if any.", "type": "string" } }, "id": "ListReferenceImagesResponse", "type": "object" }, "GoogleCloudVisionV1p4beta1InputConfig": { "description": "The desired input location and metadata.", "properties": { "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "format": "byte", "type": "string" }, "gcsSource": { "$ref": "GoogleCloudVisionV1p4beta1GcsSource", "description": "The Google Cloud Storage location to read the input from." }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1InputConfig", "type": "object" }, "GoogleCloudVisionV1p1beta1WebDetectionWebLabel": { "description": "Label to provide extra metadata for the web detection.", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1WebDetectionWebLabel", "type": "object" }, "Empty": { "id": "Empty", "type": "object", "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "properties": {} }, "GoogleCloudVisionV1p2beta1BoundingPoly": { "properties": { "vertices": { "items": { "$ref": "GoogleCloudVisionV1p2beta1Vertex" }, "description": "The bounding polygon vertices.", "type": "array" }, "normalizedVertices": { "type": "array", "description": "The bounding polygon normalized vertices.", "items": { "$ref": "GoogleCloudVisionV1p2beta1NormalizedVertex" } } }, "description": "A bounding polygon for the detected image annotation.", "id": "GoogleCloudVisionV1p2beta1BoundingPoly", "type": "object" }, "GoogleCloudVisionV1p1beta1ProductSearchResults": { "id": "GoogleCloudVisionV1p1beta1ProductSearchResults", "type": "object", "properties": { "indexTime": { "type": "string", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "format": "google-datetime" }, "results": { "type": "array", "description": "List of results, one for each product match.", "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult" } }, "productGroupedResults": { "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult" }, "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array" } }, "description": "Results for a product search request." }, "GoogleCloudVisionV1p4beta1BatchOperationMetadata": { "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "properties": { "state": { "type": "string", "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ] }, "submitTime": { "type": "string", "description": "The time when the batch request was submitted to the server.", "format": "google-datetime" }, "endTime": { "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "format": "google-datetime", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1BatchOperationMetadata", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage": { "description": "Detected language for a structural component.", "properties": { "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage", "type": "object" }, "AnnotateFileRequest": { "id": "AnnotateFileRequest", "type": "object", "description": "A request to annotate one single file, e.g. a PDF, TIFF or GIF file.", "properties": { "features": { "type": "array", "description": "Required. Requested features.", "items": { "$ref": "Feature" } }, "pages": { "items": { "format": "int32", "type": "integer" }, "description": "Pages of the file to perform image annotation. Pages starts from 1, we assume the first page of the file is page 1. At most 5 pages are supported per request. Pages can be negative. Page 1 means the first page. Page 2 means the second page. Page -1 means the last page. Page -2 means the second to the last page. If the file is GIF instead of PDF or TIFF, page refers to GIF frames. If this field is empty, by default the service performs image annotation for the first 5 pages of the file.", "type": "array" }, "inputConfig": { "$ref": "InputConfig", "description": "Required. Information about the input file." }, "imageContext": { "description": "Additional context that may accompany the image(s) in the file.", "$ref": "ImageContext" } } }, "ProductSearchResults": { "description": "Results for a product search request.", "properties": { "indexTime": { "type": "string", "format": "google-datetime", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results." }, "results": { "type": "array", "items": { "$ref": "Result" }, "description": "List of results, one for each product match." }, "productGroupedResults": { "type": "array", "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "items": { "$ref": "GroupedResult" } } }, "id": "ProductSearchResults", "type": "object" }, "GoogleCloudVisionV1p1beta1Vertex": { "id": "GoogleCloudVisionV1p1beta1Vertex", "type": "object", "properties": { "x": { "format": "int32", "description": "X coordinate.", "type": "integer" }, "y": { "type": "integer", "format": "int32", "description": "Y coordinate." } }, "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image." }, "GoogleCloudVisionV1p1beta1GcsDestination": { "description": "The Google Cloud Storage location where the output will be written to.", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1GcsDestination", "type": "object" }, "Paragraph": { "properties": { "property": { "description": "Additional information detected for the paragraph.", "$ref": "TextProperty" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the paragraph. Range [0, 1]." }, "words": { "type": "array", "items": { "$ref": "Word" }, "description": "List of all words in this paragraph." }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "BoundingPoly" } }, "description": "Structural unit of text representing a number of words in certain order.", "id": "Paragraph", "type": "object" }, "GoogleCloudVisionV1p3beta1AnnotateFileResponse": { "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "properties": { "inputConfig": { "$ref": "GoogleCloudVisionV1p3beta1InputConfig", "description": "Information about the file for which this response is generated." }, "responses": { "type": "array", "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "items": { "$ref": "GoogleCloudVisionV1p3beta1AnnotateImageResponse" } }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." }, "totalPages": { "description": "This field gives the total number of pages in the file.", "format": "int32", "type": "integer" } }, "id": "GoogleCloudVisionV1p3beta1AnnotateFileResponse", "type": "object" }, "Word": { "id": "Word", "type": "object", "description": "A word representation.", "properties": { "property": { "description": "Additional information detected for the word.", "$ref": "TextProperty" }, "symbols": { "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "items": { "$ref": "Symbol" }, "type": "array" }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "format": "float", "type": "number" }, "boundingBox": { "$ref": "BoundingPoly", "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." } } }, "GoogleCloudVisionV1p1beta1Page": { "properties": { "height": { "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32", "type": "integer" }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "blocks": { "description": "List of blocks of text, images etc on this page.", "items": { "$ref": "GoogleCloudVisionV1p1beta1Block" }, "type": "array" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results on the page. Range [0, 1]." } }, "description": "Detected page from OCR.", "id": "GoogleCloudVisionV1p1beta1Page", "type": "object" }, "GoogleCloudVisionV1p2beta1Page": { "properties": { "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "height": { "format": "int32", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "description": "Confidence of the OCR results on the page. Range [0, 1].", "format": "float", "type": "number" }, "blocks": { "type": "array", "description": "List of blocks of text, images etc on this page.", "items": { "$ref": "GoogleCloudVisionV1p2beta1Block" } } }, "description": "Detected page from OCR.", "id": "GoogleCloudVisionV1p2beta1Page", "type": "object" }, "GoogleCloudVisionV1p2beta1CropHint": { "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of this being a salient region. Range [0, 1]." }, "importanceFraction": { "description": "Fraction of importance of this salient region with respect to the original image.", "format": "float", "type": "number" } }, "description": "Single crop hint that is used to generate a new crop when serving an image.", "id": "GoogleCloudVisionV1p2beta1CropHint", "type": "object" }, "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage": { "id": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage", "type": "object", "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "description": "Confidence of detected language. Range [0, 1].", "format": "float", "type": "number" } }, "description": "Detected language for a structural component." }, "DetectedLanguage": { "id": "DetectedLanguage", "type": "object", "properties": { "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Detected language for a structural component." }, "ListProductsResponse": { "properties": { "products": { "description": "List of products.", "items": { "$ref": "Product" }, "type": "array" }, "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" } }, "description": "Response message for the `ListProducts` method.", "id": "ListProductsResponse", "type": "object" }, "Symbol": { "id": "Symbol", "type": "object", "properties": { "property": { "description": "Additional information detected for the symbol.", "$ref": "TextProperty" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1]." }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "BoundingPoly" }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" } }, "description": "A single symbol representation." }, "GoogleCloudVisionV1p3beta1ProductSearchResults": { "id": "GoogleCloudVisionV1p3beta1ProductSearchResults", "type": "object", "properties": { "indexTime": { "format": "google-datetime", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string" }, "results": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match." }, "productGroupedResults": { "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult" }, "type": "array" } }, "description": "Results for a product search request." }, "Landmark": { "properties": { "type": { "description": "Face landmark type.", "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ], "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ] }, "position": { "description": "Face landmark position.", "$ref": "Position" } }, "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "id": "Landmark", "type": "object" }, "GoogleCloudVisionV1p2beta1Product": { "id": "GoogleCloudVisionV1p2beta1Product", "type": "object", "description": "A Product contains ReferenceImages.", "properties": { "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "productLabels": { "type": "array", "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductKeyValue" } }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1FaceRecognitionResult": { "id": "GoogleCloudVisionV1p4beta1FaceRecognitionResult", "type": "object", "description": "Information about a face's identity.", "properties": { "celebrity": { "$ref": "GoogleCloudVisionV1p4beta1Celebrity", "description": "The Celebrity that this face was matched to." }, "confidence": { "type": "number", "description": "Recognition confidence. Range [0, 1].", "format": "float" } } }, "PurgeProductsRequest": { "properties": { "productSetPurgeConfig": { "$ref": "ProductSetPurgeConfig", "description": "Specify which ProductSet contains the Products to be deleted." }, "force": { "description": "The default value is false. Override this value to true to actually perform the purge.", "type": "boolean" }, "deleteOrphanProducts": { "description": "If delete_orphan_products is true, all Products that are not in any ProductSet will be deleted.", "type": "boolean" } }, "description": "Request message for the `PurgeProducts` method.", "id": "PurgeProductsRequest", "type": "object" }, "GoogleCloudVisionV1p4beta1DominantColorsAnnotation": { "properties": { "colors": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ColorInfo" }, "description": "RGB color values with their score and pixel fraction." } }, "description": "Set of dominant colors and their corresponding scores.", "id": "GoogleCloudVisionV1p4beta1DominantColorsAnnotation", "type": "object" }, "GoogleCloudVisionV1p2beta1WebDetectionWebPage": { "id": "GoogleCloudVisionV1p2beta1WebDetectionWebPage", "type": "object", "properties": { "partialMatchingImages": { "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "type": "array" }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array" }, "url": { "description": "The result web page URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "format": "float", "type": "number" } }, "description": "Metadata for web pages." }, "GoogleCloudVisionV1p1beta1CropHintsAnnotation": { "id": "GoogleCloudVisionV1p1beta1CropHintsAnnotation", "type": "object", "properties": { "cropHints": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1CropHint" }, "description": "Crop hint results." } }, "description": "Set of crop hints that are used to generate new crops when serving images." }, "EntityAnnotation": { "id": "EntityAnnotation", "type": "object", "properties": { "locations": { "type": "array", "items": { "$ref": "LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks." }, "confidence": { "deprecated": true, "type": "number", "format": "float", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]." }, "score": { "type": "number", "format": "float", "description": "Overall score of the result. Range [0, 1]." }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "BoundingPoly" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "topicality": { "type": "number", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "format": "float" }, "properties": { "items": { "$ref": "Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array" } }, "description": "Set of detected entity features." }, "GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse": { "id": "GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse", "type": "object", "description": "Response to an async batch file annotation request.", "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "items": { "$ref": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse" }, "type": "array" } } }, "GoogleCloudVisionV1p1beta1OperationMetadata": { "id": "GoogleCloudVisionV1p1beta1OperationMetadata", "type": "object", "description": "Contains metadata for the BatchAnnotateImages operation.", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "The time when the batch request was received." }, "state": { "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation.", "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "type": "string" }, "updateTime": { "type": "string", "description": "The time when the operation result was last updated.", "format": "google-datetime" } } }, "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult": { "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult", "type": "object", "properties": { "objectAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation" }, "description": "List of generic predictions for the object in the bounding box." }, "results": { "type": "array", "description": "List of results, one for each product match.", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult" } }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." } }, "description": "Information about the products similar to a single product in a query image." }, "GoogleCloudVisionV1p4beta1LocationInfo": { "id": "GoogleCloudVisionV1p4beta1LocationInfo", "type": "object", "description": "Detected entity location information.", "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } } }, "AnnotateFileResponse": { "properties": { "responses": { "items": { "$ref": "AnnotateImageResponse" }, "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." }, "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "InputConfig" }, "totalPages": { "type": "integer", "format": "int32", "description": "This field gives the total number of pages in the file." } }, "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "id": "AnnotateFileResponse", "type": "object" }, "GoogleCloudVisionV1p3beta1WebDetection": { "id": "GoogleCloudVisionV1p3beta1WebDetection", "type": "object", "properties": { "bestGuessLabels": { "type": "array", "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebLabel" } }, "webEntities": { "type": "array", "description": "Deduced entities from similar images on the Internet.", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebEntity" } }, "pagesWithMatchingImages": { "type": "array", "description": "Web pages containing the matching images from the Internet.", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebPage" } }, "visuallySimilarImages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "The visually similar image results.", "type": "array" }, "fullMatchingImages": { "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "type": "array" }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" } }, "description": "Relevant information for the image from the Internet." }, "Operation": { "id": "Operation", "type": "object", "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "Status" }, "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, "metadata": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object" }, "response": { "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "type": "object" }, "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" } } }, "AnnotateImageResponse": { "properties": { "textAnnotations": { "items": { "$ref": "EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully.", "type": "array" }, "localizedObjectAnnotations": { "type": "array", "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "items": { "$ref": "LocalizedObjectAnnotation" } }, "cropHintsAnnotation": { "description": "If present, crop hints have completed successfully.", "$ref": "CropHintsAnnotation" }, "landmarkAnnotations": { "type": "array", "items": { "$ref": "EntityAnnotation" }, "description": "If present, landmark detection has completed successfully." }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "ImageProperties" }, "safeSearchAnnotation": { "description": "If present, safe-search annotation has completed successfully.", "$ref": "SafeSearchAnnotation" }, "labelAnnotations": { "description": "If present, label detection has completed successfully.", "items": { "$ref": "EntityAnnotation" }, "type": "array" }, "logoAnnotations": { "items": { "$ref": "EntityAnnotation" }, "description": "If present, logo detection has completed successfully.", "type": "array" }, "webDetection": { "$ref": "WebDetection", "description": "If present, web detection has completed successfully." }, "fullTextAnnotation": { "$ref": "TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "faceAnnotations": { "type": "array", "description": "If present, face detection has completed successfully.", "items": { "$ref": "FaceAnnotation" } }, "productSearchResults": { "description": "If present, product search has completed successfully.", "$ref": "ProductSearchResults" }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "description": "If present, contextual information is needed to understand where this image comes from.", "$ref": "ImageAnnotationContext" } }, "description": "Response to an image annotation request.", "id": "AnnotateImageResponse", "type": "object" }, "GoogleCloudVisionV1p1beta1TextAnnotation": { "id": "GoogleCloudVisionV1p1beta1TextAnnotation", "type": "object", "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "properties": { "text": { "description": "UTF-8 text detected on the pages.", "type": "string" }, "pages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1Page" }, "description": "List of pages detected by OCR." } } }, "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult": { "description": "Information about the products similar to a single product in a query image.", "properties": { "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." }, "results": { "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match.", "type": "array" }, "objectAnnotations": { "type": "array", "description": "List of generic predictions for the object in the bounding box.", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation" } } }, "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult", "type": "object" }, "GoogleCloudVisionV1p4beta1ImageAnnotationContext": { "properties": { "pageNumber": { "type": "integer", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "format": "int32" }, "uri": { "description": "The URI of the file used to produce the image.", "type": "string" } }, "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "id": "GoogleCloudVisionV1p4beta1ImageAnnotationContext", "type": "object" }, "GoogleCloudVisionV1p3beta1ReferenceImage": { "properties": { "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "boundingPolys": { "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "items": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "type": "array" }, "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" } }, "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "id": "GoogleCloudVisionV1p3beta1ReferenceImage", "type": "object" }, "GoogleCloudVisionV1p1beta1Word": { "id": "GoogleCloudVisionV1p1beta1Word", "type": "object", "description": "A word representation.", "properties": { "property": { "description": "Additional information detected for the word.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "symbols": { "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "items": { "$ref": "GoogleCloudVisionV1p1beta1Symbol" }, "type": "array" }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "format": "float", "type": "number" }, "boundingBox": { "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" } } }, "GoogleCloudVisionV1p1beta1WebDetectionWebImage": { "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "type": "number", "description": "(Deprecated) Overall relevancy score for the image.", "format": "float" } }, "description": "Metadata for online images.", "id": "GoogleCloudVisionV1p1beta1WebDetectionWebImage", "type": "object" }, "GoogleCloudVisionV1p1beta1ProductSearchResultsResult": { "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult", "type": "object", "properties": { "product": { "description": "The Product.", "$ref": "GoogleCloudVisionV1p1beta1Product" }, "score": { "format": "float", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number" }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } }, "description": "Information about a product." }, "GoogleCloudVisionV1p3beta1TextAnnotation": { "id": "GoogleCloudVisionV1p3beta1TextAnnotation", "type": "object", "properties": { "text": { "description": "UTF-8 text detected on the pages.", "type": "string" }, "pages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1Page" }, "description": "List of pages detected by OCR.", "type": "array" } }, "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail." }, "ImportProductSetsRequest": { "id": "ImportProductSetsRequest", "type": "object", "description": "Request message for the `ImportProductSets` method.", "properties": { "inputConfig": { "$ref": "ImportProductSetsInputConfig", "description": "Required. The input content for the list of requests." } } }, "AsyncBatchAnnotateFilesRequest": { "properties": { "requests": { "items": { "$ref": "AsyncAnnotateFileRequest" }, "description": "Required. Individual async file annotation requests for this batch.", "type": "array" }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" }, "labels": { "type": "object", "additionalProperties": { "type": "string" }, "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter." } }, "description": "Multiple async file annotation requests are batched into a single service call.", "id": "AsyncBatchAnnotateFilesRequest", "type": "object" }, "GoogleCloudVisionV1p1beta1DominantColorsAnnotation": { "id": "GoogleCloudVisionV1p1beta1DominantColorsAnnotation", "type": "object", "properties": { "colors": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1ColorInfo" }, "description": "RGB color values with their score and pixel fraction." } }, "description": "Set of dominant colors and their corresponding scores." }, "GoogleCloudVisionV1p1beta1Block": { "id": "GoogleCloudVisionV1p1beta1Block", "type": "object", "description": "Logical element on the page.", "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "paragraphs": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Paragraph" }, "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array" }, "blockType": { "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "type": "string", "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block." }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number" }, "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" } } }, "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation": { "id": "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation", "type": "object", "properties": { "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "Image region to which this object belongs. This must be populated." }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Set of detected objects with bounding boxes." }, "GoogleCloudVisionV1p3beta1SafeSearchAnnotation": { "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "properties": { "spoof": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "medical": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this is a medical image.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "adult": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "violence": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1SafeSearchAnnotation", "type": "object" }, "GoogleCloudVisionV1p3beta1Page": { "properties": { "blocks": { "type": "array", "description": "List of blocks of text, images etc on this page.", "items": { "$ref": "GoogleCloudVisionV1p3beta1Block" } }, "confidence": { "type": "number", "description": "Confidence of the OCR results on the page. Range [0, 1].", "format": "float" }, "height": { "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32", "type": "integer" }, "width": { "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32", "type": "integer" }, "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" } }, "description": "Detected page from OCR.", "id": "GoogleCloudVisionV1p3beta1Page", "type": "object" }, "GoogleCloudVisionV1p3beta1CropHint": { "id": "GoogleCloudVisionV1p3beta1CropHint", "type": "object", "properties": { "importanceFraction": { "description": "Fraction of importance of this salient region with respect to the original image.", "format": "float", "type": "number" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale." }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" } }, "description": "Single crop hint that is used to generate a new crop when serving an image." }, "BoundingPoly": { "description": "A bounding polygon for the detected image annotation.", "properties": { "vertices": { "description": "The bounding polygon vertices.", "items": { "$ref": "Vertex" }, "type": "array" }, "normalizedVertices": { "description": "The bounding polygon normalized vertices.", "items": { "$ref": "NormalizedVertex" }, "type": "array" } }, "id": "BoundingPoly", "type": "object" }, "GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse": { "id": "GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse", "type": "object", "properties": { "responses": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1AnnotateFileResponse" }, "description": "The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest." } }, "description": "A list of file annotation responses." }, "GoogleCloudVisionV1p1beta1SafeSearchAnnotation": { "id": "GoogleCloudVisionV1p1beta1SafeSearchAnnotation", "type": "object", "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "properties": { "spoof": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "racy": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas." }, "medical": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that this is a medical image.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "adult": { "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "violence": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } } }, "GoogleCloudVisionV1p2beta1OperationMetadata": { "properties": { "createTime": { "type": "string", "description": "The time when the batch request was received.", "format": "google-datetime" }, "updateTime": { "type": "string", "description": "The time when the operation result was last updated.", "format": "google-datetime" }, "state": { "type": "string", "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "description": "Current state of the batch operation.", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ] } }, "description": "Contains metadata for the BatchAnnotateImages operation.", "id": "GoogleCloudVisionV1p2beta1OperationMetadata", "type": "object" }, "GoogleCloudVisionV1p4beta1WebDetectionWebPage": { "id": "GoogleCloudVisionV1p4beta1WebDetectionWebPage", "type": "object", "properties": { "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "description": "Fully matching images on the page. Can include resized copies of the query image." }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number" }, "url": { "description": "The result web page URL.", "type": "string" } }, "description": "Metadata for web pages." }, "GoogleCloudVisionV1p3beta1EntityAnnotation": { "id": "GoogleCloudVisionV1p3beta1EntityAnnotation", "type": "object", "description": "Set of detected entity features.", "properties": { "locations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks." }, "confidence": { "deprecated": true, "type": "number", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "format": "float" }, "score": { "type": "number", "description": "Overall score of the result. Range [0, 1].", "format": "float" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features." }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "topicality": { "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "format": "float", "type": "number" }, "properties": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity." } } }, "ImageProperties": { "id": "ImageProperties", "type": "object", "properties": { "dominantColors": { "$ref": "DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } }, "description": "Stores image properties, such as dominant colors." }, "Status": { "properties": { "message": { "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", "type": "string" }, "code": { "type": "integer", "format": "int32", "description": "The status code, which should be an enum value of google.rpc.Code." }, "details": { "type": "array", "items": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "type": "object" }, "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." } }, "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "id": "Status", "type": "object" }, "ProductSet": { "properties": { "name": { "description": "The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet.", "type": "string" }, "indexError": { "$ref": "Status", "description": "Output only. If there was an error with indexing the product set, the field is populated. This field is ignored when creating a ProductSet.", "readOnly": true }, "displayName": { "description": "The user-provided name for this ProductSet. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "indexTime": { "format": "google-datetime", "description": "Output only. The time at which this ProductSet was last indexed. Query results will reflect all updates before this time. If this ProductSet has never been indexed, this timestamp is the default value \"1970-01-01T00:00:00Z\". This field is ignored when creating a ProductSet.", "readOnly": true, "type": "string" } }, "description": "A ProductSet contains Products. A ProductSet can contain a maximum of 1 million reference images. If the limit is exceeded, periodic indexing will fail.", "id": "ProductSet", "type": "object" }, "GoogleCloudVisionV1p2beta1WebDetectionWebLabel": { "id": "GoogleCloudVisionV1p2beta1WebDetectionWebLabel", "type": "object", "description": "Label to provide extra metadata for the web detection.", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1ProductSearchResultsResult": { "description": "Information about a product.", "properties": { "product": { "$ref": "GoogleCloudVisionV1p2beta1Product", "description": "The Product." }, "score": { "type": "number", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "format": "float" }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } }, "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult", "type": "object" }, "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse": { "id": "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse", "type": "object", "description": "The response for a single offline file annotation request.", "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p4beta1OutputConfig", "description": "The output location and metadata from AsyncAnnotateFileRequest." } } }, "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak": { "description": "Detected start or end of a structural component.", "properties": { "type": { "description": "Detected break type.", "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "type": "string", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ] }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } }, "id": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak", "type": "object" }, "GoogleCloudVisionV1p1beta1EntityAnnotation": { "description": "Set of detected entity features.", "properties": { "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "properties": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array" }, "score": { "type": "number", "description": "Overall score of the result. Range [0, 1].", "format": "float" }, "locations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" }, "confidence": { "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "format": "float", "deprecated": true, "type": "number" } }, "id": "GoogleCloudVisionV1p1beta1EntityAnnotation", "type": "object" }, "TextDetectionParams": { "properties": { "enableTextDetectionConfidenceScore": { "description": "By default, Cloud Vision API only includes confidence score for DOCUMENT_TEXT_DETECTION result. Set the flag to true to include confidence score for TEXT_DETECTION as well.", "type": "boolean" }, "advancedOcrOptions": { "description": "A list of advanced OCR options to further fine-tune OCR behavior. Current valid values are: - `legacy_layout`: a heuristics layout detection algorithm, which serves as an alternative to the current ML-based layout detection algorithm. Customers can choose the best suitable layout algorithm based on their situation.", "items": { "type": "string" }, "type": "array" } }, "description": "Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.", "id": "TextDetectionParams", "type": "object" }, "GoogleCloudVisionV1p1beta1WebDetectionWebPage": { "description": "Metadata for web pages.", "properties": { "partialMatchingImages": { "type": "array", "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "type": "array", "description": "Fully matching images on the page. Can include resized copies of the query image.", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" } }, "url": { "description": "The result web page URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number" } }, "id": "GoogleCloudVisionV1p1beta1WebDetectionWebPage", "type": "object" }, "GoogleCloudVisionV1p1beta1WebDetectionWebEntity": { "id": "GoogleCloudVisionV1p1beta1WebDetectionWebEntity", "type": "object", "description": "Entity deduced from similar images on the Internet.", "properties": { "entityId": { "description": "Opaque entity ID.", "type": "string" }, "score": { "format": "float", "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak": { "description": "Detected start or end of a structural component.", "properties": { "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "description": "Detected break type.", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "type": "string" }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } }, "id": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak", "type": "object" }, "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse": { "id": "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse", "type": "object", "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p1beta1OutputConfig", "description": "The output location and metadata from AsyncAnnotateFileRequest." } }, "description": "The response for a single offline file annotation request." }, "GoogleCloudVisionV1p1beta1NormalizedVertex": { "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "properties": { "y": { "format": "float", "description": "Y coordinate.", "type": "number" }, "x": { "type": "number", "format": "float", "description": "X coordinate." } }, "id": "GoogleCloudVisionV1p1beta1NormalizedVertex", "type": "object" }, "GoogleCloudVisionV1p4beta1ImportProductSetsResponse": { "id": "GoogleCloudVisionV1p4beta1ImportProductSetsResponse", "type": "object", "properties": { "referenceImages": { "type": "array", "description": "The list of reference_images that are imported successfully.", "items": { "$ref": "GoogleCloudVisionV1p4beta1ReferenceImage" } }, "statuses": { "type": "array", "items": { "$ref": "Status" }, "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0." } }, "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field." }, "GoogleCloudVisionV1p1beta1AnnotateImageResponse": { "description": "Response to an image annotation request.", "properties": { "cropHintsAnnotation": { "$ref": "GoogleCloudVisionV1p1beta1CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "landmarkAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" }, "description": "If present, landmark detection has completed successfully.", "type": "array" }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "GoogleCloudVisionV1p1beta1ImageProperties" }, "textAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully." }, "localizedObjectAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array" }, "fullTextAnnotation": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "webDetection": { "$ref": "GoogleCloudVisionV1p1beta1WebDetection", "description": "If present, web detection has completed successfully." }, "faceAnnotations": { "type": "array", "description": "If present, face detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p1beta1FaceAnnotation" } }, "productSearchResults": { "description": "If present, product search has completed successfully.", "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResults" }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "description": "If present, contextual information is needed to understand where this image comes from.", "$ref": "GoogleCloudVisionV1p1beta1ImageAnnotationContext" }, "safeSearchAnnotation": { "$ref": "GoogleCloudVisionV1p1beta1SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "labelAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" }, "description": "If present, label detection has completed successfully.", "type": "array" }, "logoAnnotations": { "type": "array", "description": "If present, logo detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" } } }, "id": "GoogleCloudVisionV1p1beta1AnnotateImageResponse", "type": "object" }, "CropHintsParams": { "description": "Parameters for crop hints annotation request.", "properties": { "aspectRatios": { "type": "array", "items": { "format": "float", "type": "number" }, "description": "Aspect ratios in floats, representing the ratio of the width to the height of the image. For example, if the desired aspect ratio is 4/3, the corresponding float value should be 1.33333. If not specified, the best possible crop is returned. The number of provided aspect ratios is limited to a maximum of 16; any aspect ratios provided after the 16th are ignored." } }, "id": "CropHintsParams", "type": "object" }, "GoogleCloudVisionV1p3beta1Symbol": { "properties": { "property": { "description": "Additional information detected for the symbol.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "confidence": { "type": "number", "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "format": "float" }, "boundingBox": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" } }, "description": "A single symbol representation.", "id": "GoogleCloudVisionV1p3beta1Symbol", "type": "object" }, "GoogleCloudVisionV1p4beta1GcsDestination": { "id": "GoogleCloudVisionV1p4beta1GcsDestination", "type": "object", "description": "The Google Cloud Storage location where the output will be written to.", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } } }, "Vertex": { "id": "Vertex", "type": "object", "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "properties": { "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" }, "x": { "type": "integer", "format": "int32", "description": "X coordinate." } } }, "LocationInfo": { "id": "LocationInfo", "type": "object", "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } }, "description": "Detected entity location information." }, "GoogleCloudVisionV1p4beta1CropHintsAnnotation": { "id": "GoogleCloudVisionV1p4beta1CropHintsAnnotation", "type": "object", "properties": { "cropHints": { "type": "array", "description": "Crop hint results.", "items": { "$ref": "GoogleCloudVisionV1p4beta1CropHint" } } }, "description": "Set of crop hints that are used to generate new crops when serving images." }, "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark": { "properties": { "type": { "description": "Face landmark type.", "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ], "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ] }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p2beta1Position" } }, "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "id": "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark", "type": "object" }, "GoogleCloudVisionV1p4beta1ImageProperties": { "id": "GoogleCloudVisionV1p4beta1ImageProperties", "type": "object", "properties": { "dominantColors": { "description": "If present, dominant colors completed successfully.", "$ref": "GoogleCloudVisionV1p4beta1DominantColorsAnnotation" } }, "description": "Stores image properties, such as dominant colors." }, "GoogleCloudVisionV1p2beta1GcsSource": { "description": "The Google Cloud Storage location where the input will be read from.", "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "id": "GoogleCloudVisionV1p2beta1GcsSource", "type": "object" }, "Block": { "id": "Block", "type": "object", "properties": { "property": { "$ref": "TextProperty", "description": "Additional information detected for the block." }, "confidence": { "description": "Confidence of the OCR results on the block. Range [0, 1].", "format": "float", "type": "number" }, "boundingBox": { "$ref": "BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "paragraphs": { "items": { "$ref": "Paragraph" }, "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array" }, "blockType": { "description": "Detected block type (text, image etc) for this block.", "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "type": "string", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ] } }, "description": "Logical element on the page." }, "GoogleCloudVisionV1p2beta1Word": { "description": "A word representation.", "properties": { "boundingBox": { "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "property": { "description": "Additional information detected for the word.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "symbols": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1Symbol" }, "description": "List of symbols in the word. The order of the symbols follows the natural reading order." }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p2beta1Word", "type": "object" }, "ListProductsInProductSetResponse": { "id": "ListProductsInProductSetResponse", "type": "object", "description": "Response message for the `ListProductsInProductSet` method.", "properties": { "products": { "description": "The list of Products.", "items": { "$ref": "Product" }, "type": "array" }, "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" } } }, "GcsSource": { "id": "GcsSource", "type": "object", "description": "The Google Cloud Storage location where the input will be read from.", "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1BatchOperationMetadata": { "id": "GoogleCloudVisionV1p3beta1BatchOperationMetadata", "type": "object", "properties": { "submitTime": { "type": "string", "format": "google-datetime", "description": "The time when the batch request was submitted to the server." }, "endTime": { "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "format": "google-datetime", "type": "string" }, "state": { "type": "string", "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ] } }, "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service." }, "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty": { "properties": { "detectedLanguages": { "type": "array", "description": "A list of detected languages together with confidence.", "items": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage" } }, "detectedBreak": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." } }, "description": "Additional information detected on the structural component.", "id": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty", "type": "object" }, "GoogleCloudVisionV1p1beta1CropHint": { "description": "Single crop hint that is used to generate a new crop when serving an image.", "properties": { "importanceFraction": { "description": "Fraction of importance of this salient region with respect to the original image.", "format": "float", "type": "number" }, "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p1beta1CropHint", "type": "object" }, "GoogleCloudVisionV1p2beta1ProductKeyValue": { "id": "GoogleCloudVisionV1p2beta1ProductKeyValue", "type": "object", "description": "A product label represented as a key-value pair.", "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1FaceAnnotation": { "description": "A face annotation object contains the results of face detection.", "properties": { "fdBoundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "format": "float", "type": "number" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated." }, "sorrowLikelihood": { "description": "Sorrow likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "tiltAngle": { "format": "float", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number" }, "landmarkingConfidence": { "description": "Face landmarking confidence. Range [0, 1].", "format": "float", "type": "number" }, "angerLikelihood": { "description": "Anger likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "joyLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Joy likelihood." }, "blurredLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Blurred likelihood." }, "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Surprise likelihood." }, "landmarks": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark" }, "description": "Detected face landmarks." }, "rollAngle": { "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number" }, "detectionConfidence": { "type": "number", "format": "float", "description": "Detection confidence. Range [0, 1]." }, "underExposedLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Under-exposed likelihood." }, "headwearLikelihood": { "description": "Headwear likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "id": "GoogleCloudVisionV1p2beta1FaceAnnotation", "type": "object" }, "GoogleCloudVisionV1p2beta1CropHintsAnnotation": { "description": "Set of crop hints that are used to generate new crops when serving images.", "properties": { "cropHints": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1CropHint" }, "description": "Crop hint results." } }, "id": "GoogleCloudVisionV1p2beta1CropHintsAnnotation", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak": { "description": "Detected start or end of a structural component.", "properties": { "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "description": "Detected break type.", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "type": "string" }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } }, "id": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak", "type": "object" }, "GoogleCloudVisionV1p4beta1Vertex": { "properties": { "x": { "description": "X coordinate.", "format": "int32", "type": "integer" }, "y": { "type": "integer", "description": "Y coordinate.", "format": "int32" } }, "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "id": "GoogleCloudVisionV1p4beta1Vertex", "type": "object" }, "FaceAnnotation": { "id": "FaceAnnotation", "type": "object", "description": "A face annotation object contains the results of face detection.", "properties": { "fdBoundingPoly": { "$ref": "BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "panAngle": { "type": "number", "format": "float", "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180]." }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "BoundingPoly" }, "tiltAngle": { "type": "number", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "format": "float" }, "sorrowLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Sorrow likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "joyLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Joy likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "landmarkingConfidence": { "type": "number", "description": "Face landmarking confidence. Range [0, 1].", "format": "float" }, "angerLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Anger likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "landmarks": { "type": "array", "items": { "$ref": "Landmark" }, "description": "Detected face landmarks." }, "blurredLikelihood": { "description": "Blurred likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "surpriseLikelihood": { "description": "Surprise likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "underExposedLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Under-exposed likelihood.", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string" }, "rollAngle": { "type": "number", "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180]." }, "detectionConfidence": { "type": "number", "format": "float", "description": "Detection confidence. Range [0, 1]." }, "headwearLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Headwear likelihood." } } }, "GoogleCloudVisionV1p4beta1ProductKeyValue": { "description": "A product label represented as a key-value pair.", "properties": { "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1ProductKeyValue", "type": "object" }, "GoogleCloudVisionV1p3beta1OperationMetadata": { "properties": { "updateTime": { "type": "string", "format": "google-datetime", "description": "The time when the operation result was last updated." }, "state": { "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "type": "string", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation." }, "createTime": { "type": "string", "description": "The time when the batch request was received.", "format": "google-datetime" } }, "description": "Contains metadata for the BatchAnnotateImages operation.", "id": "GoogleCloudVisionV1p3beta1OperationMetadata", "type": "object" }, "GoogleCloudVisionV1p3beta1Paragraph": { "properties": { "property": { "description": "Additional information detected for the paragraph.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results for the paragraph. Range [0, 1]." }, "words": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1Word" }, "description": "List of all words in this paragraph." }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" } }, "description": "Structural unit of text representing a number of words in certain order.", "id": "GoogleCloudVisionV1p3beta1Paragraph", "type": "object" }, "WebPage": { "properties": { "url": { "description": "The result web page URL.", "type": "string" }, "score": { "type": "number", "format": "float", "description": "(Deprecated) Overall relevancy score for the web page." }, "partialMatchingImages": { "type": "array", "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "items": { "$ref": "WebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "description": "Fully matching images on the page. Can include resized copies of the query image.", "items": { "$ref": "WebImage" }, "type": "array" } }, "description": "Metadata for web pages.", "id": "WebPage", "type": "object" }, "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult": { "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult", "type": "object", "description": "Information about the products similar to a single product in a query image.", "properties": { "results": { "type": "array", "description": "List of results, one for each product match.", "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult" } }, "objectAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation" }, "description": "List of generic predictions for the object in the bounding box." }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." } } }, "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation": { "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "score": { "type": "number", "description": "Score of the result. Range [0, 1].", "format": "float" } }, "description": "Prediction for what the object in the bounding box is.", "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation", "type": "object" }, "GoogleCloudVisionV1p2beta1Block": { "description": "Logical element on the page.", "properties": { "confidence": { "type": "number", "description": "Confidence of the OCR results on the block. Range [0, 1].", "format": "float" }, "boundingBox": { "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "paragraphs": { "type": "array", "description": "List of paragraphs in this block (if this blocks is of type text).", "items": { "$ref": "GoogleCloudVisionV1p2beta1Paragraph" } }, "blockType": { "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block.", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "type": "string" }, "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" } }, "id": "GoogleCloudVisionV1p2beta1Block", "type": "object" }, "GoogleCloudVisionV1p3beta1ImageAnnotationContext": { "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "type": "integer", "format": "int32", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image." } }, "id": "GoogleCloudVisionV1p3beta1ImageAnnotationContext", "type": "object" }, "OutputConfig": { "properties": { "gcsDestination": { "description": "The Google Cloud Storage location to write the output(s) to.", "$ref": "GcsDestination" }, "batchSize": { "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "format": "int32", "type": "integer" } }, "description": "The desired output location and metadata.", "id": "OutputConfig", "type": "object" }, "DetectedBreak": { "id": "DetectedBreak", "type": "object", "description": "Detected start or end of a structural component.", "properties": { "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "description": "Detected break type.", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "type": "string" }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } } }, "Page": { "id": "Page", "type": "object", "properties": { "height": { "type": "integer", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32" }, "width": { "type": "integer", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "format": "int32" }, "property": { "description": "Additional information detected on the page.", "$ref": "TextProperty" }, "blocks": { "type": "array", "description": "List of blocks of text, images etc on this page.", "items": { "$ref": "Block" } }, "confidence": { "type": "number", "description": "Confidence of the OCR results on the page. Range [0, 1].", "format": "float" } }, "description": "Detected page from OCR." }, "GoogleCloudVisionV1p4beta1AnnotateImageResponse": { "id": "GoogleCloudVisionV1p4beta1AnnotateImageResponse", "type": "object", "description": "Response to an image annotation request.", "properties": { "faceAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceAnnotation" }, "description": "If present, face detection has completed successfully.", "type": "array" }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "error": { "$ref": "Status", "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set." }, "context": { "$ref": "GoogleCloudVisionV1p4beta1ImageAnnotationContext", "description": "If present, contextual information is needed to understand where this image comes from." }, "webDetection": { "description": "If present, web detection has completed successfully.", "$ref": "GoogleCloudVisionV1p4beta1WebDetection" }, "fullTextAnnotation": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "logoAnnotations": { "description": "If present, logo detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" }, "type": "array" }, "safeSearchAnnotation": { "description": "If present, safe-search annotation has completed successfully.", "$ref": "GoogleCloudVisionV1p4beta1SafeSearchAnnotation" }, "labelAnnotations": { "description": "If present, label detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" }, "type": "array" }, "landmarkAnnotations": { "type": "array", "description": "If present, landmark detection has completed successfully.", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" } }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "GoogleCloudVisionV1p4beta1ImageProperties" }, "cropHintsAnnotation": { "$ref": "GoogleCloudVisionV1p4beta1CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "localizedObjectAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score." }, "textAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully." } } }, "GoogleCloudVisionV1p3beta1WebDetectionWebLabel": { "description": "Label to provide extra metadata for the web detection.", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1WebDetectionWebLabel", "type": "object" }, "GoogleCloudVisionV1p3beta1CropHintsAnnotation": { "id": "GoogleCloudVisionV1p3beta1CropHintsAnnotation", "type": "object", "properties": { "cropHints": { "items": { "$ref": "GoogleCloudVisionV1p3beta1CropHint" }, "description": "Crop hint results.", "type": "array" } }, "description": "Set of crop hints that are used to generate new crops when serving images." }, "GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse": { "properties": { "responses": { "type": "array", "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "items": { "$ref": "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse" } } }, "description": "Response to an async batch file annotation request.", "id": "GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotation": { "id": "GoogleCloudVisionV1p4beta1TextAnnotation", "type": "object", "properties": { "text": { "description": "UTF-8 text detected on the pages.", "type": "string" }, "pages": { "type": "array", "description": "List of pages detected by OCR.", "items": { "$ref": "GoogleCloudVisionV1p4beta1Page" } } }, "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail." }, "ImageSource": { "properties": { "gcsImageUri": { "description": "**Use `image_uri` instead.** The Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.", "type": "string" }, "imageUri": { "description": "The URI of the source image. Can be either: 1. A Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info. 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that the request will be completed. Your request may fail if the specified host denies the request (e.g. due to request throttling or DOS prevention), or if Google throttles requests to the site for abuse prevention. You should not depend on externally-hosted images for production applications. When both `gcs_image_uri` and `image_uri` are specified, `image_uri` takes precedence.", "type": "string" } }, "description": "External image source (Google Cloud Storage or web URL image location).", "id": "ImageSource", "type": "object" }, "GoogleCloudVisionV1p2beta1ProductSearchResults": { "description": "Results for a product search request.", "properties": { "indexTime": { "type": "string", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "format": "google-datetime" }, "results": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match." }, "productGroupedResults": { "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult" }, "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array" } }, "id": "GoogleCloudVisionV1p2beta1ProductSearchResults", "type": "object" }, "NormalizedVertex": { "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "type": "number", "description": "Y coordinate.", "format": "float" } }, "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "id": "NormalizedVertex", "type": "object" }, "GoogleCloudVisionV1p4beta1WebDetectionWebLabel": { "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Label to provide extra metadata for the web detection.", "id": "GoogleCloudVisionV1p4beta1WebDetectionWebLabel", "type": "object" }, "AsyncBatchAnnotateImagesRequest": { "id": "AsyncBatchAnnotateImagesRequest", "type": "object", "description": "Request for async image annotation for a list of images.", "properties": { "labels": { "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "additionalProperties": { "type": "string" }, "type": "object" }, "requests": { "items": { "$ref": "AnnotateImageRequest" }, "description": "Required. Individual image annotation requests for this batch.", "type": "array" }, "outputConfig": { "$ref": "OutputConfig", "description": "Required. The desired output location and metadata (e.g. format)." }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" } } }, "Feature": { "id": "Feature", "type": "object", "description": "The type of Google Cloud Vision API detection to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list.", "properties": { "model": { "description": "Model to use for the feature. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\". `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` also support \"builtin/rc\" for the latest release candidate.", "type": "string" }, "type": { "type": "string", "enum": [ "TYPE_UNSPECIFIED", "FACE_DETECTION", "LANDMARK_DETECTION", "LOGO_DETECTION", "LABEL_DETECTION", "TEXT_DETECTION", "DOCUMENT_TEXT_DETECTION", "SAFE_SEARCH_DETECTION", "IMAGE_PROPERTIES", "CROP_HINTS", "WEB_DETECTION", "PRODUCT_SEARCH", "OBJECT_LOCALIZATION" ], "description": "The feature type.", "enumDescriptions": [ "Unspecified feature type.", "Run face detection.", "Run landmark detection.", "Run logo detection.", "Run label detection.", "Run text detection / optical character recognition (OCR). Text detection is optimized for areas of text within a larger image; if the image is a document, use `DOCUMENT_TEXT_DETECTION` instead.", "Run dense text document OCR. Takes precedence when both `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` are present.", "Run Safe Search to detect potentially unsafe or undesirable content.", "Compute a set of image properties, such as the image's dominant colors.", "Run crop hints.", "Run web detection.", "Run Product Search.", "Run localizer for object detection." ] }, "maxResults": { "type": "integer", "description": "Maximum number of results of this type. Does not apply to `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.", "format": "int32" } } }, "GoogleCloudVisionV1p1beta1LocationInfo": { "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } }, "description": "Detected entity location information.", "id": "GoogleCloudVisionV1p1beta1LocationInfo", "type": "object" }, "Image": { "description": "Client image to perform Google Cloud Vision API tasks over.", "properties": { "source": { "$ref": "ImageSource", "description": "Google Cloud Storage image location, or publicly-accessible image URL. If both `content` and `source` are provided for an image, `content` takes precedence and is used to perform the image annotation request." }, "content": { "format": "byte", "description": "Image content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateImages requests. It does not work for AsyncBatchAnnotateImages requests.", "type": "string" } }, "id": "Image", "type": "object" }, "GoogleCloudVisionV1p1beta1AnnotateFileResponse": { "id": "GoogleCloudVisionV1p1beta1AnnotateFileResponse", "type": "object", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "properties": { "totalPages": { "type": "integer", "description": "This field gives the total number of pages in the file.", "format": "int32" }, "inputConfig": { "$ref": "GoogleCloudVisionV1p1beta1InputConfig", "description": "Information about the file for which this response is generated." }, "responses": { "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "items": { "$ref": "GoogleCloudVisionV1p1beta1AnnotateImageResponse" }, "type": "array" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." } } }, "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark": { "properties": { "type": { "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "description": "Face landmark type.", "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p1beta1Position" } }, "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "id": "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark", "type": "object" }, "GoogleCloudVisionV1p3beta1ImageProperties": { "id": "GoogleCloudVisionV1p3beta1ImageProperties", "type": "object", "description": "Stores image properties, such as dominant colors.", "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p3beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } } }, "GoogleCloudVisionV1p4beta1ReferenceImage": { "id": "GoogleCloudVisionV1p4beta1ReferenceImage", "type": "object", "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "properties": { "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "boundingPolys": { "items": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "type": "array" }, "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1AnnotateFileResponse": { "id": "GoogleCloudVisionV1p4beta1AnnotateFileResponse", "type": "object", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "properties": { "totalPages": { "format": "int32", "description": "This field gives the total number of pages in the file.", "type": "integer" }, "responses": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1AnnotateImageResponse" }, "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set." }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." }, "inputConfig": { "$ref": "GoogleCloudVisionV1p4beta1InputConfig", "description": "Information about the file for which this response is generated." } } }, "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse": { "id": "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse", "type": "object", "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "items": { "$ref": "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse" }, "type": "array" } }, "description": "Response to an async batch file annotation request." }, "WebImage": { "id": "WebImage", "type": "object", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the image.", "format": "float", "type": "number" } }, "description": "Metadata for online images." }, "GoogleCloudVisionV1p3beta1ImportProductSetsResponse": { "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.", "properties": { "referenceImages": { "description": "The list of reference_images that are imported successfully.", "items": { "$ref": "GoogleCloudVisionV1p3beta1ReferenceImage" }, "type": "array" }, "statuses": { "type": "array", "items": { "$ref": "Status" }, "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0." } }, "id": "GoogleCloudVisionV1p3beta1ImportProductSetsResponse", "type": "object" }, "GoogleCloudVisionV1p2beta1Property": { "description": "A `Property` consists of a user-supplied name/value pair.", "properties": { "uint64Value": { "type": "string", "format": "uint64", "description": "Value of numeric properties." }, "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" } }, "id": "GoogleCloudVisionV1p2beta1Property", "type": "object" }, "GoogleCloudVisionV1p4beta1BoundingPoly": { "id": "GoogleCloudVisionV1p4beta1BoundingPoly", "type": "object", "description": "A bounding polygon for the detected image annotation.", "properties": { "vertices": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Vertex" }, "description": "The bounding polygon vertices." }, "normalizedVertices": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1NormalizedVertex" }, "description": "The bounding polygon normalized vertices." } } }, "GoogleCloudVisionV1p4beta1WebDetection": { "id": "GoogleCloudVisionV1p4beta1WebDetection", "type": "object", "description": "Relevant information for the image from the Internet.", "properties": { "partialMatchingImages": { "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "type": "array" }, "fullMatchingImages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "description": "Fully matching images from the Internet. Can include resized copies of the query image." }, "webEntities": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebEntity" }, "description": "Deduced entities from similar images on the Internet." }, "pagesWithMatchingImages": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebPage" }, "description": "Web pages containing the matching images from the Internet." }, "visuallySimilarImages": { "type": "array", "description": "The visually similar image results.", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" } }, "bestGuessLabels": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebLabel" }, "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web." } } }, "ListProductSetsResponse": { "id": "ListProductSetsResponse", "type": "object", "properties": { "productSets": { "type": "array", "items": { "$ref": "ProductSet" }, "description": "List of ProductSets." }, "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" } }, "description": "Response message for the `ListProductSets` method." }, "GoogleCloudVisionV1p1beta1Property": { "properties": { "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" }, "uint64Value": { "type": "string", "description": "Value of numeric properties.", "format": "uint64" } }, "description": "A `Property` consists of a user-supplied name/value pair.", "id": "GoogleCloudVisionV1p1beta1Property", "type": "object" }, "ImageAnnotationContext": { "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "type": "integer", "format": "int32", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image." } }, "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "id": "ImageAnnotationContext", "type": "object" }, "GoogleCloudVisionV1p4beta1EntityAnnotation": { "description": "Set of detected entity features.", "properties": { "locations": { "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "items": { "$ref": "GoogleCloudVisionV1p4beta1LocationInfo" }, "type": "array" }, "confidence": { "deprecated": true, "type": "number", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "format": "float" }, "score": { "type": "number", "description": "Overall score of the result. Range [0, 1].", "format": "float" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features." }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "topicality": { "type": "number", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "format": "float" }, "properties": { "items": { "$ref": "GoogleCloudVisionV1p4beta1Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array" } }, "id": "GoogleCloudVisionV1p4beta1EntityAnnotation", "type": "object" }, "GoogleCloudVisionV1p1beta1InputConfig": { "id": "GoogleCloudVisionV1p1beta1InputConfig", "type": "object", "description": "The desired input location and metadata.", "properties": { "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "format": "byte", "type": "string" }, "gcsSource": { "description": "The Google Cloud Storage location to read the input from.", "$ref": "GoogleCloudVisionV1p1beta1GcsSource" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1Product": { "id": "GoogleCloudVisionV1p3beta1Product", "type": "object", "description": "A Product contains ReferenceImages.", "properties": { "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "productLabels": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductKeyValue" }, "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet." }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } } }, "Product": { "id": "Product", "type": "object", "properties": { "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "productLabels": { "items": { "$ref": "KeyValue" }, "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } }, "description": "A Product contains ReferenceImages." }, "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty": { "description": "Additional information detected on the structural component.", "properties": { "detectedLanguages": { "type": "array", "description": "A list of detected languages together with confidence.", "items": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage" } }, "detectedBreak": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." } }, "id": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty", "type": "object" }, "AnnotateImageRequest": { "id": "AnnotateImageRequest", "type": "object", "description": "Request for performing Google Cloud Vision API tasks over a user-provided image, with user-requested features, and with context information.", "properties": { "features": { "type": "array", "description": "Requested features.", "items": { "$ref": "Feature" } }, "imageContext": { "$ref": "ImageContext", "description": "Additional context that may accompany the image." }, "image": { "$ref": "Image", "description": "The image to be processed." } } }, "GoogleCloudVisionV1p2beta1WebDetection": { "properties": { "fullMatchingImages": { "type": "array", "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" } }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "bestGuessLabels": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebLabel" }, "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array" }, "pagesWithMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebPage" }, "description": "Web pages containing the matching images from the Internet.", "type": "array" }, "visuallySimilarImages": { "description": "The visually similar image results.", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "type": "array" }, "webEntities": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebEntity" }, "description": "Deduced entities from similar images on the Internet.", "type": "array" } }, "description": "Relevant information for the image from the Internet.", "id": "GoogleCloudVisionV1p2beta1WebDetection", "type": "object" }, "CancelOperationRequest": { "description": "The request message for Operations.CancelOperation.", "properties": {}, "id": "CancelOperationRequest", "type": "object" }, "GoogleCloudVisionV1p3beta1Block": { "id": "GoogleCloudVisionV1p3beta1Block", "type": "object", "properties": { "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "boundingBox": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "paragraphs": { "description": "List of paragraphs in this block (if this blocks is of type text).", "items": { "$ref": "GoogleCloudVisionV1p3beta1Paragraph" }, "type": "array" }, "blockType": { "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "type": "string", "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block." }, "confidence": { "type": "number", "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1]." } }, "description": "Logical element on the page." }, "ImportProductSetsGcsSource": { "id": "ImportProductSetsGcsSource", "type": "object", "properties": { "csvFileUri": { "description": "The Google Cloud Storage URI of the input csv file. The URI must start with `gs://`. The format of the input csv file should be one image per line. In each line, there are 8 columns. 1. image-uri 2. image-id 3. product-set-id 4. product-id 5. product-category 6. product-display-name 7. labels 8. bounding-poly The `image-uri`, `product-set-id`, `product-id`, and `product-category` columns are required. All other columns are optional. If the `ProductSet` or `Product` specified by the `product-set-id` and `product-id` values does not exist, then the system will create a new `ProductSet` or `Product` for the image. In this case, the `product-display-name` column refers to display_name, the `product-category` column refers to product_category, and the `labels` column refers to product_labels. The `image-id` column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The `product-display-name` column is optional. If it is empty, the system sets the display_name field for the product to a space (\" \"). You can update the `display_name` later by using the API. If a `Product` with the specified `product-id` already exists, then the system ignores the `product-display-name`, `product-category`, and `labels` columns. The `labels` column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: \"key_1=value_1,key_2=value_2,...,key_n=value_n\" The `bounding-poly` column (optional) identifies one region of interest from the image in the same manner as `CreateReferenceImage`. If you do not specify the `bounding-poly` column, then the system will try to detect regions of interest automatically. At most one `bounding-poly` column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the `bounding-poly` values for each region of interest. The `bounding-poly` column must contain an even number of comma-separated numbers, in the format \"p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y\". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).", "type": "string" } }, "description": "The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line." }, "GoogleCloudVisionV1p2beta1EntityAnnotation": { "id": "GoogleCloudVisionV1p2beta1EntityAnnotation", "type": "object", "description": "Set of detected entity features.", "properties": { "score": { "type": "number", "description": "Overall score of the result. Range [0, 1].", "format": "float" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "properties": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity." }, "confidence": { "format": "float", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "deprecated": true, "type": "number" }, "locations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks." } } }, "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult": { "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult", "type": "object", "properties": { "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." }, "results": { "type": "array", "description": "List of results, one for each product match.", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult" } }, "objectAnnotations": { "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation" }, "description": "List of generic predictions for the object in the bounding box." } }, "description": "Information about the products similar to a single product in a query image." }, "GoogleCloudVisionV1p2beta1Vertex": { "id": "GoogleCloudVisionV1p2beta1Vertex", "type": "object", "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "properties": { "x": { "type": "integer", "description": "X coordinate.", "format": "int32" }, "y": { "description": "Y coordinate.", "format": "int32", "type": "integer" } } }, "ReferenceImage": { "id": "ReferenceImage", "type": "object", "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "properties": { "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" }, "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "boundingPolys": { "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "items": { "$ref": "BoundingPoly" }, "type": "array" } } }, "GroupedResult": { "id": "GroupedResult", "type": "object", "properties": { "objectAnnotations": { "description": "List of generic predictions for the object in the bounding box.", "items": { "$ref": "ObjectAnnotation" }, "type": "array" }, "results": { "type": "array", "items": { "$ref": "Result" }, "description": "List of results, one for each product match." }, "boundingPoly": { "$ref": "BoundingPoly", "description": "The bounding polygon around the product detected in the query image." } }, "description": "Information about the products similar to a single product in a query image." }, "GoogleCloudVisionV1p3beta1FaceAnnotation": { "description": "A face annotation object contains the results of face detection.", "properties": { "headwearLikelihood": { "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Headwear likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "rollAngle": { "type": "number", "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180]." }, "detectionConfidence": { "description": "Detection confidence. Range [0, 1].", "format": "float", "type": "number" }, "underExposedLikelihood": { "description": "Under-exposed likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "blurredLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Blurred likelihood." }, "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Surprise likelihood." }, "landmarks": { "description": "Detected face landmarks.", "items": { "$ref": "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark" }, "type": "array" }, "landmarkingConfidence": { "type": "number", "format": "float", "description": "Face landmarking confidence. Range [0, 1]." }, "angerLikelihood": { "description": "Anger likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "joyLikelihood": { "description": "Joy likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "sorrowLikelihood": { "description": "Sorrow likelihood.", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "tiltAngle": { "type": "number", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "format": "float" }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "fdBoundingPoly": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "panAngle": { "type": "number", "format": "float", "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180]." } }, "id": "GoogleCloudVisionV1p3beta1FaceAnnotation", "type": "object" }, "Position": { "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "properties": { "x": { "description": "X coordinate.", "format": "float", "type": "number" }, "y": { "type": "number", "description": "Y coordinate.", "format": "float" }, "z": { "description": "Z coordinate (or depth).", "format": "float", "type": "number" } }, "id": "Position", "type": "object" }, "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation": { "id": "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation", "type": "object", "properties": { "score": { "type": "number", "format": "float", "description": "Score of the result. Range [0, 1]." }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "boundingPoly": { "description": "Image region to which this object belongs. This must be populated.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Set of detected objects with bounding boxes." }, "GoogleCloudVisionV1p3beta1OutputConfig": { "id": "GoogleCloudVisionV1p3beta1OutputConfig", "type": "object", "description": "The desired output location and metadata.", "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p3beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer" } } }, "AsyncBatchAnnotateFilesResponse": { "id": "AsyncBatchAnnotateFilesResponse", "type": "object", "properties": { "responses": { "type": "array", "items": { "$ref": "AsyncAnnotateFileResponse" }, "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest." } }, "description": "Response to an async batch file annotation request." } }, "resources": { "operations": { "methods": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "parameters": { "name": { "required": true, "type": "string", "location": "path", "description": "The name of the operation resource.", "pattern": "^operations/[^/]+$" } }, "id": "vision.operations.get", "flatPath": "v1/operations/{operationsId}", "response": { "$ref": "Operation" }, "httpMethod": "GET", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}" }, "cancel": { "id": "vision.operations.cancel", "parameters": { "name": { "type": "string", "required": true, "pattern": "^operations/.*$", "description": "The name of the operation resource to be cancelled.", "location": "path" } }, "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "flatPath": "v1/operations/{operationsId}:cancel", "response": { "$ref": "Empty" }, "path": "v1/{+name}:cancel", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "CancelOperationRequest" } }, "delete": { "response": { "$ref": "Empty" }, "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "DELETE", "id": "vision.operations.delete", "parameters": { "name": { "pattern": "^operations/.*$", "description": "The name of the operation resource to be deleted.", "location": "path", "type": "string", "required": true } }, "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", "flatPath": "v1/operations/{operationsId}" }, "list": { "id": "vision.operations.list", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "parameters": { "pageToken": { "location": "query", "description": "The standard list page token.", "type": "string" }, "filter": { "location": "query", "description": "The standard list filter.", "type": "string" }, "pageSize": { "description": "The standard list page size.", "location": "query", "format": "int32", "type": "integer" }, "name": { "description": "The name of the operation's parent resource.", "location": "path", "pattern": "^operations$", "required": true, "type": "string" }, "returnPartialSuccess": { "type": "boolean", "location": "query", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation." } }, "flatPath": "v1/operations", "response": { "$ref": "ListOperationsResponse" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}", "httpMethod": "GET" } } }, "locations": { "resources": { "operations": { "methods": { "get": { "response": { "$ref": "Operation" }, "httpMethod": "GET", "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameters": { "name": { "required": true, "type": "string", "location": "path", "description": "The name of the operation resource.", "pattern": "^locations/[^/]+/operations/[^/]+$" } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "id": "vision.locations.operations.get", "flatPath": "v1/locations/{locationsId}/operations/{operationsId}" } } } } }, "projects": { "resources": { "images": { "methods": { "asyncBatchAnnotate": { "response": { "$ref": "Operation" }, "path": "v1/{+parent}/images:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "id": "vision.projects.images.asyncBatchAnnotate", "parameters": { "parent": { "pattern": "^projects/[^/]+$", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string", "required": true } }, "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.", "flatPath": "v1/projects/{projectsId}/images:asyncBatchAnnotate" }, "annotate": { "parameters": { "parent": { "type": "string", "required": true, "pattern": "^projects/[^/]+$", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`." } }, "description": "Run image detection and annotation for a batch of images.", "id": "vision.projects.images.annotate", "flatPath": "v1/projects/{projectsId}/images:annotate", "response": { "$ref": "BatchAnnotateImagesResponse" }, "httpMethod": "POST", "request": { "$ref": "BatchAnnotateImagesRequest" }, "path": "v1/{+parent}/images:annotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] } } }, "files": { "methods": { "annotate": { "response": { "$ref": "BatchAnnotateFilesResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/files:annotate", "httpMethod": "POST", "request": { "$ref": "BatchAnnotateFilesRequest" }, "id": "vision.projects.files.annotate", "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "parameters": { "parent": { "type": "string", "required": true, "pattern": "^projects/[^/]+$", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "location": "path" } }, "flatPath": "v1/projects/{projectsId}/files:annotate" }, "asyncBatchAnnotate": { "flatPath": "v1/projects/{projectsId}/files:asyncBatchAnnotate", "id": "vision.projects.files.asyncBatchAnnotate", "parameters": { "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "location": "path", "pattern": "^projects/[^/]+$", "required": true, "type": "string" } }, "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "path": "v1/{+parent}/files:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "response": { "$ref": "Operation" } } } }, "operations": { "methods": { "get": { "response": { "$ref": "Operation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}", "httpMethod": "GET", "id": "vision.projects.operations.get", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "parameters": { "name": { "required": true, "type": "string", "location": "path", "description": "The name of the operation resource.", "pattern": "^projects/[^/]+/operations/[^/]+$" } }, "flatPath": "v1/projects/{projectsId}/operations/{operationsId}" } } }, "locations": { "resources": { "images": { "methods": { "annotate": { "response": { "$ref": "BatchAnnotateImagesResponse" }, "path": "v1/{+parent}/images:annotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "BatchAnnotateImagesRequest" }, "id": "vision.projects.locations.images.annotate", "parameters": { "parent": { "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`." } }, "description": "Run image detection and annotation for a batch of images.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/images:annotate" }, "asyncBatchAnnotate": { "response": { "$ref": "Operation" }, "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/images:asyncBatchAnnotate", "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string", "required": true } }, "id": "vision.projects.locations.images.asyncBatchAnnotate", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/images:asyncBatchAnnotate" } } }, "files": { "methods": { "annotate": { "id": "vision.projects.locations.files.annotate", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "location": "path", "type": "string", "required": true } }, "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/files:annotate", "response": { "$ref": "BatchAnnotateFilesResponse" }, "path": "v1/{+parent}/files:annotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "BatchAnnotateFilesRequest" } }, "asyncBatchAnnotate": { "parameters": { "parent": { "required": true, "type": "string", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "id": "vision.projects.locations.files.asyncBatchAnnotate", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/files:asyncBatchAnnotate", "response": { "$ref": "Operation" }, "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "path": "v1/{+parent}/files:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] } } }, "operations": { "methods": { "get": { "id": "vision.projects.locations.operations.get", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "description": "The name of the operation resource.", "location": "path", "type": "string", "required": true } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "response": { "$ref": "Operation" }, "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "GET" } } }, "products": { "methods": { "list": { "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products", "description": "Lists products in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.", "parameters": { "pageSize": { "description": "The maximum number of items to return. Default 10, maximum 100.", "location": "query", "format": "int32", "type": "integer" }, "parent": { "required": true, "type": "string", "description": "Required. The project OR ProductSet from which Products should be listed. Format: `projects/PROJECT_ID/locations/LOC_ID`", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "pageToken": { "type": "string", "description": "The next_page_token returned from a previous List request, if any.", "location": "query" } }, "id": "vision.projects.locations.products.list", "httpMethod": "GET", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/products", "response": { "$ref": "ListProductsResponse" } }, "delete": { "httpMethod": "DELETE", "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "location": "path", "description": "Required. Resource name of product to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string", "required": true } }, "description": "Permanently deletes a product and its reference images. Metadata of the product and all its images will be deleted right away, but search queries against ProductSets containing the product may still work until all related caches are refreshed.", "id": "vision.projects.locations.products.delete" }, "get": { "id": "vision.projects.locations.products.get", "description": "Gets information associated with a Product. Possible errors: * Returns NOT_FOUND if the Product does not exist.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "location": "path", "description": "Required. Resource name of the Product to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string", "required": true } }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "response": { "$ref": "Product" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}", "httpMethod": "GET" }, "create": { "id": "vision.projects.locations.products.create", "parameters": { "parent": { "required": true, "type": "string", "location": "path", "description": "Required. The project in which the Product should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "productId": { "location": "query", "description": "A user-supplied resource id for this Product. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "type": "string" } }, "description": "Creates and returns a new product resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if description is longer than 4096 characters. * Returns INVALID_ARGUMENT if product_category is missing or invalid.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products", "response": { "$ref": "Product" }, "path": "v1/{+parent}/products", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "Product" } }, "patch": { "httpMethod": "PATCH", "request": { "$ref": "Product" }, "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Product" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "location": "path", "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string", "required": true }, "updateMask": { "type": "string", "location": "query", "format": "google-fieldmask", "description": "The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask paths include `product_labels`, `display_name`, and `description`." } }, "description": "Makes changes to a Product resource. Only the `display_name`, `description`, and `labels` fields can be updated right now. If labels are updated, the change will not be reflected in queries until the next index time. Possible errors: * Returns NOT_FOUND if the Product does not exist. * Returns INVALID_ARGUMENT if display_name is present in update_mask but is missing from the request or longer than 4096 characters. * Returns INVALID_ARGUMENT if description is present in update_mask but is longer than 4096 characters. * Returns INVALID_ARGUMENT if product_category is present in update_mask.", "id": "vision.projects.locations.products.patch" }, "purge": { "response": { "$ref": "Operation" }, "httpMethod": "POST", "request": { "$ref": "PurgeProductsRequest" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/products:purge", "description": "Asynchronous API to delete all Products in a ProductSet or all Products that are in no ProductSet. If a Product is a member of the specified ProductSet in addition to other ProductSets, the Product will still be deleted. It is recommended to not delete the specified ProductSet until after this operation has completed. It is also recommended to not add any of the Products involved in the batch delete to a new ProductSet while this operation is running because those Products may still end up deleted. It's not possible to undo the PurgeProducts operation. Therefore, it is recommended to keep the csv files used in ImportProductSets (if that was how you originally built the Product Set) before starting PurgeProducts, in case you need to re-import the data after deletion. If the plan is to purge all of the Products from a ProductSet and then re-use the empty ProductSet to re-import new Products into the empty ProductSet, you must wait until the PurgeProducts operation has finished for that ProductSet. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. `Operation.metadata` contains `BatchOperationMetadata`. (progress)", "parameters": { "parent": { "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The project and location in which the Products should be deleted. Format is `projects/PROJECT_ID/locations/LOC_ID`." } }, "id": "vision.projects.locations.products.purge", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products:purge" } }, "resources": { "referenceImages": { "methods": { "create": { "httpMethod": "POST", "request": { "$ref": "ReferenceImage" }, "path": "v1/{+parent}/referenceImages", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "ReferenceImage" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages", "parameters": { "referenceImageId": { "description": "A user-supplied resource id for the ReferenceImage to be added. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "location": "query", "type": "string" }, "parent": { "description": "Required. Resource name of the product in which to create the reference image. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "required": true, "type": "string" } }, "description": "Creates and returns a new ReferenceImage resource. The `bounding_poly` field is optional. If `bounding_poly` is not specified, the system will try to detect regions of interest in the image that are compatible with the product_category on the parent product. If it is specified, detection is ALWAYS skipped. The system converts polygons into non-rotated rectangles. Note that the pipeline will resize the image if the image resolution is too large to process (above 50MP). Possible errors: * Returns INVALID_ARGUMENT if the image_uri is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if the product does not exist. * Returns INVALID_ARGUMENT if bounding_poly is not provided, and nothing compatible with the parent product's product_category is detected. * Returns INVALID_ARGUMENT if bounding_poly contains more than 10 polygons.", "id": "vision.projects.locations.products.referenceImages.create" }, "list": { "httpMethod": "GET", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/referenceImages", "response": { "$ref": "ListReferenceImagesResponse" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages", "description": "Lists reference images. Possible errors: * Returns NOT_FOUND if the parent product does not exist. * Returns INVALID_ARGUMENT if the page_size is greater than 100, or less than 1.", "parameters": { "pageToken": { "location": "query", "description": "A token identifying a page of results to be returned. This is the value of `nextPageToken` returned in a previous reference image list request. Defaults to the first page if not specified.", "type": "string" }, "parent": { "description": "Required. Resource name of the product containing the reference images. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "required": true, "type": "string" }, "pageSize": { "type": "integer", "location": "query", "format": "int32", "description": "The maximum number of items to return. Default 10, maximum 100." } }, "id": "vision.projects.locations.products.referenceImages.list" }, "delete": { "description": "Permanently deletes a reference image. The image metadata will be deleted right away, but search queries against ProductSets containing the image may still work until all related caches are refreshed. The actual image files are not deleted from Google Cloud Storage.", "parameters": { "name": { "description": "Required. The resource name of the reference image to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$", "required": true, "type": "string" } }, "id": "vision.projects.locations.products.referenceImages.delete", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages/{referenceImagesId}", "response": { "$ref": "Empty" }, "httpMethod": "DELETE", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}" }, "get": { "id": "vision.projects.locations.products.referenceImages.get", "description": "Gets information associated with a ReferenceImage. Possible errors: * Returns NOT_FOUND if the specified image does not exist.", "parameters": { "name": { "location": "path", "description": "Required. The resource name of the ReferenceImage to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$", "required": true, "type": "string" } }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages/{referenceImagesId}", "response": { "$ref": "ReferenceImage" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}", "httpMethod": "GET" } } } } }, "productSets": { "methods": { "delete": { "httpMethod": "DELETE", "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "description": "Required. Resource name of the ProductSet to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "location": "path", "type": "string", "required": true } }, "description": "Permanently deletes a ProductSet. Products and ReferenceImages in the ProductSet are not deleted. The actual image files are not deleted from Google Cloud Storage.", "id": "vision.projects.locations.productSets.delete" }, "get": { "httpMethod": "GET", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}", "response": { "$ref": "ProductSet" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}", "description": "Gets information associated with a ProductSet. Possible errors: * Returns NOT_FOUND if the ProductSet does not exist.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "location": "path", "description": "Required. Resource name of the ProductSet to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "type": "string", "required": true } }, "id": "vision.projects.locations.productSets.get" }, "removeProduct": { "response": { "$ref": "Empty" }, "httpMethod": "POST", "request": { "$ref": "RemoveProductFromProductSetRequest" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+name}:removeProduct", "description": "Removes a Product from the specified ProductSet.", "parameters": { "name": { "required": true, "type": "string", "description": "Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$" } }, "id": "vision.projects.locations.productSets.removeProduct", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}:removeProduct" }, "list": { "response": { "$ref": "ListProductSetsResponse" }, "httpMethod": "GET", "path": "v1/{+parent}/productSets", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameters": { "pageSize": { "description": "The maximum number of items to return. Default 10, maximum 100.", "location": "query", "format": "int32", "type": "integer" }, "parent": { "required": true, "type": "string", "location": "path", "description": "Required. The project from which ProductSets should be listed. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "pageToken": { "type": "string", "description": "The next_page_token returned from a previous List request, if any.", "location": "query" } }, "description": "Lists ProductSets in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100, or less than 1.", "id": "vision.projects.locations.productSets.list", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets" }, "import": { "httpMethod": "POST", "request": { "$ref": "ImportProductSetsRequest" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/productSets:import", "response": { "$ref": "Operation" }, "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets:import", "description": "Asynchronous API that imports a list of reference images to specified product sets based on a list of image information. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. `Operation.metadata` contains `BatchOperationMetadata`. (progress) `Operation.response` contains `ImportProductSetsResponse`. (results) The input source of this method is a csv file on Google Cloud Storage. For the format of the csv file please see ImportProductSetsGcsSource.csv_file_uri.", "parameters": { "parent": { "description": "Required. The project in which the ProductSets should be imported. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "type": "string" } }, "id": "vision.projects.locations.productSets.import" }, "create": { "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets", "description": "Creates and returns a new ProductSet resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing, or is longer than 4096 characters.", "parameters": { "parent": { "description": "Required. The project in which the ProductSet should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "type": "string" }, "productSetId": { "type": "string", "description": "A user-supplied resource id for this ProductSet. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "location": "query" } }, "id": "vision.projects.locations.productSets.create", "httpMethod": "POST", "request": { "$ref": "ProductSet" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/{+parent}/productSets", "response": { "$ref": "ProductSet" } }, "patch": { "response": { "$ref": "ProductSet" }, "path": "v1/{+name}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "PATCH", "request": { "$ref": "ProductSet" }, "id": "vision.projects.locations.productSets.patch", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "description": "The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet.", "location": "path", "type": "string", "required": true }, "updateMask": { "type": "string", "description": "The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask path is `display_name`.", "location": "query", "format": "google-fieldmask" } }, "description": "Makes changes to a ProductSet resource. Only display_name can be updated currently. Possible errors: * Returns NOT_FOUND if the ProductSet does not exist. * Returns INVALID_ARGUMENT if display_name is present in update_mask but missing from the request or longer than 4096 characters.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}" }, "addProduct": { "id": "vision.projects.locations.productSets.addProduct", "parameters": { "name": { "required": true, "type": "string", "description": "Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$" } }, "description": "Adds a Product to the specified ProductSet. If the Product is already present, no change is made. One Product can be added to at most 100 ProductSets. Possible errors: * Returns NOT_FOUND if the Product or the ProductSet doesn't exist.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}:addProduct", "response": { "$ref": "Empty" }, "path": "v1/{+name}:addProduct", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "AddProductToProductSetRequest" } } }, "resources": { "products": { "methods": { "list": { "response": { "$ref": "ListProductsInProductSetResponse" }, "httpMethod": "GET", "path": "v1/{+name}/products", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameters": { "pageToken": { "type": "string", "location": "query", "description": "The next_page_token returned from a previous List request, if any." }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "location": "path", "description": "Required. The ProductSet resource for which to retrieve Products. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "type": "string", "required": true }, "pageSize": { "type": "integer", "description": "The maximum number of items to return. Default 10, maximum 100.", "location": "query", "format": "int32" } }, "description": "Lists the Products in a ProductSet, in an unspecified order. If the ProductSet does not exist, the products field of the response will be empty. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.", "id": "vision.projects.locations.productSets.products.list", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}/products" } } } } } } } } }, "images": { "methods": { "asyncBatchAnnotate": { "response": { "$ref": "Operation" }, "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "parameterOrder": [], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/images:asyncBatchAnnotate", "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.", "parameters": {}, "id": "vision.images.asyncBatchAnnotate", "flatPath": "v1/images:asyncBatchAnnotate" }, "annotate": { "parameterOrder": [], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/images:annotate", "httpMethod": "POST", "request": { "$ref": "BatchAnnotateImagesRequest" }, "response": { "$ref": "BatchAnnotateImagesResponse" }, "flatPath": "v1/images:annotate", "id": "vision.images.annotate", "description": "Run image detection and annotation for a batch of images.", "parameters": {} } } }, "files": { "methods": { "asyncBatchAnnotate": { "parameterOrder": [], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "path": "v1/files:asyncBatchAnnotate", "httpMethod": "POST", "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "response": { "$ref": "Operation" }, "flatPath": "v1/files:asyncBatchAnnotate", "id": "vision.files.asyncBatchAnnotate", "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "parameters": {} }, "annotate": { "response": { "$ref": "BatchAnnotateFilesResponse" }, "path": "v1/files:annotate", "parameterOrder": [], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "httpMethod": "POST", "request": { "$ref": "BatchAnnotateFilesRequest" }, "id": "vision.files.annotate", "parameters": {}, "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "flatPath": "v1/files:annotate" } } } }, "version": "v1", "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "version_module": true, "parameters": { "uploadType": { "location": "query", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", "type": "string" }, "oauth_token": { "description": "OAuth 2.0 token for the current user.", "location": "query", "type": "string" }, "fields": { "type": "string", "location": "query", "description": "Selector specifying which fields to include in a partial response." }, "$.xgafv": { "enumDescriptions": [ "v1 error format", "v2 error format" ], "location": "query", "description": "V1 error format.", "enum": [ "1", "2" ], "type": "string" }, "access_token": { "type": "string", "location": "query", "description": "OAuth access token." }, "upload_protocol": { "type": "string", "location": "query", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\")." }, "alt": { "type": "string", "default": "json", "enum": [ "json", "media", "proto" ], "description": "Data format for response.", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "location": "query" }, "quotaUser": { "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.", "location": "query", "type": "string" }, "callback": { "description": "JSONP", "location": "query", "type": "string" }, "key": { "type": "string", "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", "location": "query" }, "prettyPrint": { "type": "boolean", "default": "true", "description": "Returns response with indentations and line breaks.", "location": "query" } }, "description": "Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.", "id": "vision:v1", "basePath": "", "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/cloud-platform": { "description": "See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account." }, "https://www.googleapis.com/auth/cloud-vision": { "description": "Apply machine learning models to understand and label images" } } } }, "kind": "discovery#restDescription", "mtlsRootUrl": "https://vision.mtls.googleapis.com/", "name": "vision", "rootUrl": "https://vision.googleapis.com/", "discoveryVersion": "v1", "batchPath": "batch" }