Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.

Request message for the AddProductToProductSet method.

A request to annotate one single file, e.g. a PDF, TIFF or GIF file.

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Request for performing Google Cloud Vision API tasks over a user-provided image, with user-requested features, and with context information.

Response to an image annotation request.

An offline file annotation request.

The response for a single offline file annotation request.

Multiple async file annotation requests are batched into a single service call.

Response to an async batch file annotation request.

Request for async image annotation for a list of images.

Response to an async batch image annotation request.

A list of requests to annotate files using the BatchAnnotateFiles API.

A list of file annotation responses.

Multiple image annotation requests are batched into a single service call.

Response to a batch image annotation request.

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.

Logical element on the page.

A bounding polygon for the detected image annotation.

The request message for Operations.CancelOperation.

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 <= 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 << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Defines the root interface for all clients that generate credentials for calling Google APIs. All clients should implement this interface.

Single crop hint that is used to generate a new crop when serving an image.

Set of crop hints that are used to generate new crops when serving images.

Parameters for crop hints annotation request.

Detected start or end of a structural component.

Detected language for a structural component.

Set of dominant colors and their corresponding scores.

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); }

Set of detected entity features.

A face annotation object contains the results of face detection.

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.

The Google Cloud Storage location where the output will be written to.

The Google Cloud Storage location where the input will be read from.

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Response to an image annotation request.

The response for a single offline file annotation request.

Response to an async batch file annotation request.

Logical element on the page.

A bounding polygon for the detected image annotation.

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Single crop hint that is used to generate a new crop when serving an image.

Set of crop hints that are used to generate new crops when serving images.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of face detection.

A face-specific landmark (for example, a face feature).

The Google Cloud Storage location where the output will be written to.

The Google Cloud Storage location where the input will be read from.

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Stores image properties, such as dominant colors.

The desired input location and metadata.

Set of detected objects with bounding boxes.

Detected entity location information.

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.

Contains metadata for the BatchAnnotateImages operation.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words in certain order.

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.

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Results for a product search request.

Information about the products similar to a single product in a query image.

Prediction for what the object in the bounding box is.

Information about a product.

A Property consists of a user-supplied name/value pair.

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

A single symbol representation.

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> 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.

Detected start or end of a structural component.

Detected language for a structural component.

Additional information detected on the structural component.

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

A word representation.

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Response to an image annotation request.

The response for a single offline file annotation request.

Response to an async batch file annotation request.

Logical element on the page.

A bounding polygon for the detected image annotation.

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Single crop hint that is used to generate a new crop when serving an image.

Set of crop hints that are used to generate new crops when serving images.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of face detection.

A face-specific landmark (for example, a face feature).

The Google Cloud Storage location where the output will be written to.

The Google Cloud Storage location where the input will be read from.

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Stores image properties, such as dominant colors.

The desired input location and metadata.

Set of detected objects with bounding boxes.

Detected entity location information.

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.

Contains metadata for the BatchAnnotateImages operation.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words in certain order.

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.

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Results for a product search request.

Information about the products similar to a single product in a query image.

Prediction for what the object in the bounding box is.

Information about a product.

A Property consists of a user-supplied name/value pair.

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

A single symbol representation.

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> 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.

Detected start or end of a structural component.

Detected language for a structural component.

Additional information detected on the structural component.

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

A word representation.

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Response to an image annotation request.

The response for a single offline file annotation request.

Response to an async batch file annotation request.

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.

Logical element on the page.

A bounding polygon for the detected image annotation.

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Single crop hint that is used to generate a new crop when serving an image.

Set of crop hints that are used to generate new crops when serving images.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of face detection.

A face-specific landmark (for example, a face feature).

The Google Cloud Storage location where the output will be written to.

The Google Cloud Storage location where the input will be read from.

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Stores image properties, such as dominant colors.

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.

The desired input location and metadata.

Set of detected objects with bounding boxes.

Detected entity location information.

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.

Contains metadata for the BatchAnnotateImages operation.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words in certain order.

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.

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Results for a product search request.

Information about the products similar to a single product in a query image.

Prediction for what the object in the bounding box is.

Information about a product.

A Property consists of a user-supplied name/value pair.

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

A single symbol representation.

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> 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.

Detected start or end of a structural component.

Detected language for a structural component.

Additional information detected on the structural component.

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

A word representation.

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Response to an image annotation request.

The response for a single offline file annotation request.

Response to an async batch file annotation request.

Response to an async batch image annotation request.

A list of file annotation responses.

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.

Logical element on the page.

A bounding polygon for the detected image annotation.

A Celebrity is a group of Faces with an identity.

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Single crop hint that is used to generate a new crop when serving an image.

Set of crop hints that are used to generate new crops when serving images.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of face detection.

A face-specific landmark (for example, a face feature).

Information about a face's identity.

The Google Cloud Storage location where the output will be written to.

The Google Cloud Storage location where the input will be read from.

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Stores image properties, such as dominant colors.

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.

The desired input location and metadata.

Set of detected objects with bounding boxes.

Detected entity location information.

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.

Contains metadata for the BatchAnnotateImages operation.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words in certain order.

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.

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Results for a product search request.

Information about the products similar to a single product in a query image.

Prediction for what the object in the bounding box is.

Information about a product.

A Property consists of a user-supplied name/value pair.

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

A single symbol representation.

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> 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.

Detected start or end of a structural component.

Detected language for a structural component.

Additional information detected on the structural component.

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

A word representation.

Information about the products similar to a single product in a query image.

Client image to perform Google Cloud Vision API tasks over.

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage or web URL image location).

The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.

The input content for the ImportProductSets method.

Request message for the ImportProductSets method.

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.

The desired input location and metadata.

A product label represented as a key-value pair.

A face-specific landmark (for example, a face feature).

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.

Rectangle determined by min and max LatLng pairs.

The response message for Operations.ListOperations.

Response message for the ListProductSets method.

Response message for the ListProductsInProductSet method.

Response message for the ListProducts method.

Response message for the ListReferenceImages method.

Set of detected objects with bounding boxes.

Detected entity location information.

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.

Prediction for what the object in the bounding box is.

This resource represents a long-running operation that is the result of a network API call.

Contains metadata for the BatchAnnotateImages operation.

Additional options for Vision#operationsList.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words in certain order.

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.

A Product contains ReferenceImages.

Parameters for a product search request.

Results for a product search request.

A ProductSet contains Products. A ProductSet can contain a maximum of 1 million reference images. If the limit is exceeded, periodic indexing will fail.

Config to control which ProductSet contains the Products to be deleted.

Additional options for Vision#projectsLocationsProductsCreate.

Additional options for Vision#projectsLocationsProductSetsCreate.

Additional options for Vision#projectsLocationsProductSetsList.

Additional options for Vision#projectsLocationsProductSetsPatch.

Additional options for Vision#projectsLocationsProductSetsProductsList.

Additional options for Vision#projectsLocationsProductsList.

Additional options for Vision#projectsLocationsProductsPatch.

Additional options for Vision#projectsLocationsProductsReferenceImagesCreate.

Additional options for Vision#projectsLocationsProductsReferenceImagesList.

A Property consists of a user-supplied name/value pair.

Request message for the PurgeProducts method.

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Request message for the RemoveProductFromProductSet method.

Information about a product.

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

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. 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.

A single symbol representation.

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> 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.

Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

Additional information detected on the structural component.

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Relevant information for the image from the Internet.

Parameters for web detection request.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

A word representation.