# Cloud Vision API . projects . locations . files

## Instance Methods

Service that performs image detection and annotation for a batch of files.

Run asynchronous image detection and annotation for a list of generic

### Method Details

`annotate(parent, body=None, x__xgafv=None)`

    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.

    Args:
      parent: string, 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`. (required)
      body: object, The request body.
        The object takes the form of:

    { # A list of requests to annotate files using the BatchAnnotateFiles API.
        "requests": [ # Required. The list of file annotation requests. Right now we support only one
            # AnnotateFileRequest in BatchAnnotateFilesRequest.
          { # A request to annotate one single file, e.g. a PDF, TIFF or GIF file.
            "features": [ # Required. Requested features.
              { # 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.
                "maxResults": 42, # Maximum number of results of this type. Does not apply to
                    # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
                "type": "A String", # The feature type.
                "model": "A String", # Model to use for the feature.
                    # Supported values: "builtin/stable" (the default if unset) and
                    # "builtin/latest".
              },
            ],
            "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
              "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
                "maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.
                    # of doubles representing degrees latitude and degrees longitude. Unless
                    # specified otherwise, this must conform to the
                    # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                    # standard</a>. Values must be within normalized ranges.
                  "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                  "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                },
                "minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.
                    # of doubles representing degrees latitude and degrees longitude. Unless
                    # specified otherwise, this must conform to the
                    # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                    # standard</a>. Values must be within normalized ranges.
                  "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                  "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                },
              },
              "webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.
                "includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.
              },
              "languageHints": [ # 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).
                "A String",
              ],
              "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
                "productCategories": [ # 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.
                  "A String",
                ],
                "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.
                    # If it is not specified, system discretion will be applied.
                  "normalizedVertices": [ # The bounding polygon normalized vertices.
                    { # 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.
                      "y": 3.14, # Y coordinate.
                      "x": 3.14, # X coordinate.
                    },
                  ],
                  "vertices": [ # The bounding polygon vertices.
                    { # A vertex represents a 2D point in the image.
                        # NOTE: the vertex coordinates are in the same scale as the original image.
                      "x": 42, # X coordinate.
                      "y": 42, # Y coordinate.
                    },
                  ],
                },
                "filter": "A String", # 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 '='.
                "productSet": "A String", # The resource name of a ProductSet to be searched for similar images.
                    #
                    # Format is:
                    # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
              },
              "cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.
                "aspectRatios": [ # 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.
                  3.14,
                ],
              },
            },
            "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
              "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
                  # "image/gif" are supported. Wildcards are not supported.
              "content": "A String", # 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.
              "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
                "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
                    # Google Cloud Storage object. Wildcards are not currently supported.
              },
            },
            "pages": [ # 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.
              42,
            ],
          },
        ],
        "parent": "A String", # 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`.
      }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A list of file annotation responses.
        "responses": [ # The list of file annotation responses, each response corresponding to each
            # AnnotateFileRequest in BatchAnnotateFilesRequest.
          { # Response to a single file annotation request. A file may contain one or more
              # images, which individually have their own responses.
            "totalPages": 42, # This field gives the total number of pages in the file.
            "inputConfig": { # The desired input location and metadata. # Information about the file for which this response is generated.
              "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
                  # "image/gif" are supported. Wildcards are not supported.
              "content": "A String", # 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.
              "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
                "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
                    # Google Cloud Storage object. Wildcards are not currently supported.
              },
            },
            "responses": [ # Individual responses to images found within the file. This field will be
                # empty if the `error` field is set.
              { # Response to an image annotation request.
                "labelAnnotations": [ # If present, label detection has completed successfully.
                  { # Set of detected entity features.
                    "description": "A String", # Entity textual description, expressed in its `locale` language.
                    "confidence": 3.14, # **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].
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
                        # for `LABEL_DETECTION` features.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "mid": "A String", # Opaque entity ID. Some IDs may be available in
                        # [Google Knowledge Graph Search
                        # API](https://developers.google.com/knowledge-graph/).
                    "locale": "A String", # The language code for the locale in which the entity textual
                        # `description` is expressed.
                    "topicality": 3.14, # 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].
                    "locations": [ # 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.
                      { # Detected entity location information.
                        "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
                            # of doubles representing degrees latitude and degrees longitude. Unless
                            # specified otherwise, this must conform to the
                            # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                            # standard</a>. Values must be within normalized ranges.
                          "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                          "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                        },
                      },
                    ],
                    "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
                        # fields, such a score or string that qualifies the entity.
                      { # A `Property` consists of a user-supplied name/value pair.
                        "value": "A String", # Value of the property.
                        "uint64Value": "A String", # Value of numeric properties.
                        "name": "A String", # Name of the property.
                      },
                    ],
                    "score": 3.14, # Overall score of the result. Range [0, 1].
                  },
                ],
                "safeSearchAnnotation": { # Set of features pertaining to the image, computed by computer vision # If present, safe-search annotation has completed successfully.
                    # methods over safe-search verticals (for example, adult, spoof, medical,
                    # violence).
                  "spoof": "A String", # Spoof likelihood. The likelihood that an modification
                      # was made to the image's canonical version to make it appear
                      # funny or offensive.
                  "racy": "A String", # 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.
                  "adult": "A String", # Represents the adult content likelihood for the image. Adult content may
                      # contain elements such as nudity, pornographic images or cartoons, or
                      # sexual activities.
                  "violence": "A String", # Likelihood that this image contains violent content.
                  "medical": "A String", # Likelihood that this is a medical image.
                },
                "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
                  "partialMatchingImages": [ # 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.
                    { # Metadata for online images.
                      "url": "A String", # The result image URL.
                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
                    },
                  ],
                  "bestGuessLabels": [ # The service's best guess as to the topic of the request image.
                      # Inferred from similar images on the open web.
                    { # Label to provide extra metadata for the web detection.
                      "label": "A String", # Label for extra metadata.
                      "languageCode": "A String", # 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.
                    },
                  ],
                  "visuallySimilarImages": [ # The visually similar image results.
                    { # Metadata for online images.
                      "url": "A String", # The result image URL.
                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
                    },
                  ],
                  "webEntities": [ # Deduced entities from similar images on the Internet.
                    { # Entity deduced from similar images on the Internet.
                      "entityId": "A String", # Opaque entity ID.
                      "score": 3.14, # Overall relevancy score for the entity.
                          # Not normalized and not comparable across different image queries.
                      "description": "A String", # Canonical description of the entity, in English.
                    },
                  ],
                  "fullMatchingImages": [ # Fully matching images from the Internet.
                      # Can include resized copies of the query image.
                    { # Metadata for online images.
                      "url": "A String", # The result image URL.
                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
                    },
                  ],
                  "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
                    { # Metadata for web pages.
                      "fullMatchingImages": [ # Fully matching images on the page.
                          # Can include resized copies of the query image.
                        { # Metadata for online images.
                          "url": "A String", # The result image URL.
                          "score": 3.14, # (Deprecated) Overall relevancy score for the image.
                        },
                      ],
                      "pageTitle": "A String", # Title for the web page, may contain HTML markups.
                      "score": 3.14, # (Deprecated) Overall relevancy score for the web page.
                      "url": "A String", # The result web page URL.
                      "partialMatchingImages": [ # 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.
                        { # Metadata for online images.
                          "url": "A String", # The result image URL.
                          "score": 3.14, # (Deprecated) Overall relevancy score for the image.
                        },
                      ],
                    },
                  ],
                },
                "productSearchResults": { # Results for a product search request. # If present, product search has completed successfully.
                  "productGroupedResults": [ # 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.
                    { # Information about the products similar to a single product in a query
                        # image.
                      "objectAnnotations": [ # List of generic predictions for the object in the bounding box.
                        { # Prediction for what the object in the bounding box is.
                          "score": 3.14, # Score of the result. Range [0, 1].
                          "mid": "A String", # Object ID that should align with EntityAnnotation mid.
                          "languageCode": "A String", # 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.
                          "name": "A String", # Object name, expressed in its `language_code` language.
                        },
                      ],
                      "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the product detected in the query image.
                        "normalizedVertices": [ # The bounding polygon normalized vertices.
                          { # 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.
                            "y": 3.14, # Y coordinate.
                            "x": 3.14, # X coordinate.
                          },
                        ],
                        "vertices": [ # The bounding polygon vertices.
                          { # A vertex represents a 2D point in the image.
                              # NOTE: the vertex coordinates are in the same scale as the original image.
                            "x": 42, # X coordinate.
                            "y": 42, # Y coordinate.
                          },
                        ],
                      },
                      "results": [ # List of results, one for each product match.
                        { # Information about a product.
                          "image": "A String", # The resource name of the image from the product that is the closest match
                              # to the query.
                          "product": { # A Product contains ReferenceImages. # The Product.
                            "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
                                # 4096 characters long.
                            "name": "A String", # 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.
                            "productLabels": [ # 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.
                              { # A product label represented as a key-value pair.
                                "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
                                    # exceed 128 bytes.
                                "value": "A String", # The value of the label attached to the product. Cannot be empty and
                                    # cannot exceed 128 bytes.
                              },
                            ],
                            "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
                                # characters long.
                            "productCategory": "A String", # Immutable. The category for the product identified by the reference image. This should
                                # be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories
                                # "homegoods", "apparel", and "toys" are still supported, but these should
                                # not be used for new products.
                          },
                          "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
                              # 1 (full confidence).
                        },
                      ],
                    },
                  ],
                  "indexTime": "A String", # 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": [ # List of results, one for each product match.
                    { # Information about a product.
                      "image": "A String", # The resource name of the image from the product that is the closest match
                          # to the query.
                      "product": { # A Product contains ReferenceImages. # The Product.
                        "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
                            # 4096 characters long.
                        "name": "A String", # 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.
                        "productLabels": [ # 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.
                          { # A product label represented as a key-value pair.
                            "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
                                # exceed 128 bytes.
                            "value": "A String", # The value of the label attached to the product. Cannot be empty and
                                # cannot exceed 128 bytes.
                          },
                        ],
                        "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
                            # characters long.
                        "productCategory": "A String", # Immutable. The category for the product identified by the reference image. This should
                            # be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories
                            # "homegoods", "apparel", and "toys" are still supported, but these should
                            # not be used for new products.
                      },
                      "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
                          # 1 (full confidence).
                    },
                  ],
                },
                "fullTextAnnotation": { # TextAnnotation contains a structured representation of OCR extracted text. # If present, text (OCR) detection or document (OCR) text detection has
                    # completed successfully.
                    # This annotation provides the structural hierarchy for the OCR detected
                    # 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.
                  "text": "A String", # UTF-8 text detected on the pages.
                  "pages": [ # List of pages detected by OCR.
                    { # Detected page from OCR.
                      "width": 42, # Page width. For PDFs the unit is points. For images (including
                          # TIFFs) the unit is pixels.
                      "blocks": [ # List of blocks of text, images etc on this page.
                        { # Logical element on the page.
                          "paragraphs": [ # List of paragraphs in this block (if this blocks is of type text).
                            { # Structural unit of text representing a number of words in certain order.
                              "boundingBox": { # A bounding polygon for the detected image annotation. # 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).
                                "normalizedVertices": [ # The bounding polygon normalized vertices.
                                  { # 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.
                                    "y": 3.14, # Y coordinate.
                                    "x": 3.14, # X coordinate.
                                  },
                                ],
                                "vertices": [ # The bounding polygon vertices.
                                  { # A vertex represents a 2D point in the image.
                                      # NOTE: the vertex coordinates are in the same scale as the original image.
                                    "x": 42, # X coordinate.
                                    "y": 42, # Y coordinate.
                                  },
                                ],
                              },
                              "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
                                "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
                                  "isPrefix": True or False, # True if break prepends the element.
                                  "type": "A String", # Detected break type.
                                },
                                "detectedLanguages": [ # A list of detected languages together with confidence.
                                  { # Detected language for a structural component.
                                    "languageCode": "A String", # 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.
                                    "confidence": 3.14, # Confidence of detected language. Range [0, 1].
                                  },
                                ],
                              },
                              "words": [ # List of all words in this paragraph.
                                { # A word representation.
                                  "property": { # Additional information detected on the structural component. # Additional information detected for the word.
                                    "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
                                      "isPrefix": True or False, # True if break prepends the element.
                                      "type": "A String", # Detected break type.
                                    },
                                    "detectedLanguages": [ # A list of detected languages together with confidence.
                                      { # Detected language for a structural component.
                                        "languageCode": "A String", # 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.
                                        "confidence": 3.14, # Confidence of detected language. Range [0, 1].
                                      },
                                    ],
                                  },
                                  "confidence": 3.14, # Confidence of the OCR results for the word. Range [0, 1].
                                  "symbols": [ # List of symbols in the word.
                                      # The order of the symbols follows the natural reading order.
                                    { # A single symbol representation.
                                      "confidence": 3.14, # Confidence of the OCR results for the symbol. Range [0, 1].
                                      "boundingBox": { # A bounding polygon for the detected image annotation. # 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).
                                        "normalizedVertices": [ # The bounding polygon normalized vertices.
                                          { # 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.
                                            "y": 3.14, # Y coordinate.
                                            "x": 3.14, # X coordinate.
                                          },
                                        ],
                                        "vertices": [ # The bounding polygon vertices.
                                          { # A vertex represents a 2D point in the image.
                                              # NOTE: the vertex coordinates are in the same scale as the original image.
                                            "x": 42, # X coordinate.
                                            "y": 42, # Y coordinate.
                                          },
                                        ],
                                      },
                                      "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
                                        "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
                                          "isPrefix": True or False, # True if break prepends the element.
                                          "type": "A String", # Detected break type.
                                        },
                                        "detectedLanguages": [ # A list of detected languages together with confidence.
                                          { # Detected language for a structural component.
                                            "languageCode": "A String", # 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.
                                            "confidence": 3.14, # Confidence of detected language. Range [0, 1].
                                          },
                                        ],
                                      },
                                      "text": "A String", # The actual UTF-8 representation of the symbol.
                                    },
                                  ],
                                  "boundingBox": { # A bounding polygon for the detected image annotation. # 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).
                                    "normalizedVertices": [ # The bounding polygon normalized vertices.
                                      { # 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.
                                        "y": 3.14, # Y coordinate.
                                        "x": 3.14, # X coordinate.
                                      },
                                    ],
                                    "vertices": [ # The bounding polygon vertices.
                                      { # A vertex represents a 2D point in the image.
                                          # NOTE: the vertex coordinates are in the same scale as the original image.
                                        "x": 42, # X coordinate.
                                        "y": 42, # Y coordinate.
                                      },
                                    ],
                                  },
                                },
                              ],
                              "confidence": 3.14, # Confidence of the OCR results for the paragraph. Range [0, 1].
                            },
                          ],
                          "blockType": "A String", # Detected block type (text, image etc) for this block.
                          "property": { # Additional information detected on the structural component. # Additional information detected for the block.
                            "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
                              "isPrefix": True or False, # True if break prepends the element.
                              "type": "A String", # Detected break type.
                            },
                            "detectedLanguages": [ # A list of detected languages together with confidence.
                              { # Detected language for a structural component.
                                "languageCode": "A String", # 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.
                                "confidence": 3.14, # Confidence of detected language. Range [0, 1].
                              },
                            ],
                          },
                          "confidence": 3.14, # Confidence of the OCR results on the block. Range [0, 1].
                          "boundingBox": { # A bounding polygon for the detected image annotation. # 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).
                            "normalizedVertices": [ # The bounding polygon normalized vertices.
                              { # 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.
                                "y": 3.14, # Y coordinate.
                                "x": 3.14, # X coordinate.
                              },
                            ],
                            "vertices": [ # The bounding polygon vertices.
                              { # A vertex represents a 2D point in the image.
                                  # NOTE: the vertex coordinates are in the same scale as the original image.
                                "x": 42, # X coordinate.
                                "y": 42, # Y coordinate.
                              },
                            ],
                          },
                        },
                      ],
                      "confidence": 3.14, # Confidence of the OCR results on the page. Range [0, 1].
                      "height": 42, # Page height. For PDFs the unit is points. For images (including
                          # TIFFs) the unit is pixels.
                      "property": { # Additional information detected on the structural component. # Additional information detected on the page.
                        "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
                          "isPrefix": True or False, # True if break prepends the element.
                          "type": "A String", # Detected break type.
                        },
                        "detectedLanguages": [ # A list of detected languages together with confidence.
                          { # Detected language for a structural component.
                            "languageCode": "A String", # 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.
                            "confidence": 3.14, # Confidence of detected language. Range [0, 1].
                          },
                        ],
                      },
                    },
                  ],
                },
                "localizedObjectAnnotations": [ # If present, localized object detection has completed successfully.
                    # This will be sorted descending by confidence score.
                  { # Set of detected objects with bounding boxes.
                    "name": "A String", # Object name, expressed in its `language_code` language.
                    "score": 3.14, # Score of the result. Range [0, 1].
                    "languageCode": "A String", # 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.
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this object belongs. This must be populated.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "mid": "A String", # Object ID that should align with EntityAnnotation mid.
                  },
                ],
                "imagePropertiesAnnotation": { # Stores image properties, such as dominant colors. # If present, image properties were extracted successfully.
                  "dominantColors": { # Set of dominant colors and their corresponding scores. # If present, dominant colors completed successfully.
                    "colors": [ # RGB color values with their score and pixel fraction.
                      { # Color information consists of RGB channels, score, and the fraction of
                          # the image that the color occupies in the image.
                        "score": 3.14, # Image-specific score for this color. Value in range [0, 1].
                        "color": { # Represents a color in the RGBA color space. This representation is designed # RGB components of the color.
                            # for simplicity of conversion to/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, as well.
                            #
                            # Note: this proto does not carry information about the absolute color space
                            # that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB,
                            # DCI-P3, BT.2020, etc.). By default, applications SHOULD assume the sRGB color
                            # space.
                            #
                            # Note: when color equality needs to be decided, implementations, unless
                            # documented otherwise, will treat two colors to be 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('');
                            #     };
                            #
                            #     // ...
                          "blue": 3.14, # The amount of blue in the color as a value in the interval [0, 1].
                          "red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
                          "green": 3.14, # The amount of green in the color as a value in the interval [0, 1].
                          "alpha": 3.14, # 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 to be rendered as a solid color
                              # (as if the alpha value had been explicitly given with a value of 1.0).
                        },
                        "pixelFraction": 3.14, # The fraction of pixels the color occupies in the image.
                            # Value in range [0, 1].
                      },
                    ],
                  },
                },
                "faceAnnotations": [ # If present, face detection has completed successfully.
                  { # A face annotation object contains the results of face detection.
                    "fdBoundingPoly": { # A bounding polygon for the detected image annotation. # 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 <code>fd</code> (face detection) prefix.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "sorrowLikelihood": "A String", # Sorrow likelihood.
                    "rollAngle": 3.14, # 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].
                    "angerLikelihood": "A String", # Anger likelihood.
                    "surpriseLikelihood": "A String", # Surprise likelihood.
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # 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.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
                    "headwearLikelihood": "A String", # Headwear likelihood.
                    "panAngle": 3.14, # 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].
                    "landmarks": [ # Detected face landmarks.
                      { # A face-specific landmark (for example, a face feature).
                        "position": { # A 3D position in the image, used primarily for Face detection landmarks. # Face landmark position.
                            # A valid Position must have both x and y coordinates.
                            # The position coordinates are in the same scale as the original image.
                          "z": 3.14, # Z coordinate (or depth).
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                        "type": "A String", # Face landmark type.
                      },
                    ],
                    "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
                    "joyLikelihood": "A String", # Joy likelihood.
                    "tiltAngle": 3.14, # Pitch angle, which indicates the upwards/downwards angle that the face is
                        # pointing relative to the image's horizontal plane. Range [-180,180].
                    "underExposedLikelihood": "A String", # Under-exposed likelihood.
                    "blurredLikelihood": "A String", # Blurred likelihood.
                  },
                ],
                "logoAnnotations": [ # If present, logo detection has completed successfully.
                  { # Set of detected entity features.
                    "description": "A String", # Entity textual description, expressed in its `locale` language.
                    "confidence": 3.14, # **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].
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
                        # for `LABEL_DETECTION` features.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "mid": "A String", # Opaque entity ID. Some IDs may be available in
                        # [Google Knowledge Graph Search
                        # API](https://developers.google.com/knowledge-graph/).
                    "locale": "A String", # The language code for the locale in which the entity textual
                        # `description` is expressed.
                    "topicality": 3.14, # 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].
                    "locations": [ # 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.
                      { # Detected entity location information.
                        "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
                            # of doubles representing degrees latitude and degrees longitude. Unless
                            # specified otherwise, this must conform to the
                            # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                            # standard</a>. Values must be within normalized ranges.
                          "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                          "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                        },
                      },
                    ],
                    "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
                        # fields, such a score or string that qualifies the entity.
                      { # A `Property` consists of a user-supplied name/value pair.
                        "value": "A String", # Value of the property.
                        "uint64Value": "A String", # Value of numeric properties.
                        "name": "A String", # Name of the property.
                      },
                    ],
                    "score": 3.14, # Overall score of the result. Range [0, 1].
                  },
                ],
                "context": { # If an image was produced from a file (e.g. a PDF), this message gives # If present, contextual information is needed to understand where this image
                    # comes from.
                    # information about the source of that image.
                  "pageNumber": 42, # If the file was a PDF or TIFF, this field gives the page number within
                      # the file used to produce the image.
                  "uri": "A String", # The URI of the file used to produce the image.
                },
                "cropHintsAnnotation": { # Set of crop hints that are used to generate new crops when serving images. # If present, crop hints have completed successfully.
                  "cropHints": [ # Crop hint results.
                    { # Single crop hint that is used to generate a new crop when serving an image.
                      "importanceFraction": 3.14, # Fraction of importance of this salient region with respect to the original
                          # image.
                      "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon for the crop region. The coordinates of the bounding
                          # box are in the original image's scale.
                        "normalizedVertices": [ # The bounding polygon normalized vertices.
                          { # 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.
                            "y": 3.14, # Y coordinate.
                            "x": 3.14, # X coordinate.
                          },
                        ],
                        "vertices": [ # The bounding polygon vertices.
                          { # A vertex represents a 2D point in the image.
                              # NOTE: the vertex coordinates are in the same scale as the original image.
                            "x": 42, # X coordinate.
                            "y": 42, # Y coordinate.
                          },
                        ],
                      },
                      "confidence": 3.14, # Confidence of this being a salient region.  Range [0, 1].
                    },
                  ],
                },
                "error": { # The `Status` type defines a logical error model that is suitable for # 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.
                    # 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).
                  "code": 42, # The status code, which should be an enum value of google.rpc.Code.
                  "details": [ # A list of messages that carry the error details.  There is a common set of
                      # message types for APIs to use.
                    {
                      "a_key": "", # Properties of the object. Contains field @type with type URL.
                    },
                  ],
                  "message": "A String", # 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.
                },
                "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
                  { # Set of detected entity features.
                    "description": "A String", # Entity textual description, expressed in its `locale` language.
                    "confidence": 3.14, # **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].
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
                        # for `LABEL_DETECTION` features.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "mid": "A String", # Opaque entity ID. Some IDs may be available in
                        # [Google Knowledge Graph Search
                        # API](https://developers.google.com/knowledge-graph/).
                    "locale": "A String", # The language code for the locale in which the entity textual
                        # `description` is expressed.
                    "topicality": 3.14, # 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].
                    "locations": [ # 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.
                      { # Detected entity location information.
                        "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
                            # of doubles representing degrees latitude and degrees longitude. Unless
                            # specified otherwise, this must conform to the
                            # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                            # standard</a>. Values must be within normalized ranges.
                          "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                          "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                        },
                      },
                    ],
                    "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
                        # fields, such a score or string that qualifies the entity.
                      { # A `Property` consists of a user-supplied name/value pair.
                        "value": "A String", # Value of the property.
                        "uint64Value": "A String", # Value of numeric properties.
                        "name": "A String", # Name of the property.
                      },
                    ],
                    "score": 3.14, # Overall score of the result. Range [0, 1].
                  },
                ],
                "textAnnotations": [ # If present, text (OCR) detection has completed successfully.
                  { # Set of detected entity features.
                    "description": "A String", # Entity textual description, expressed in its `locale` language.
                    "confidence": 3.14, # **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].
                    "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
                        # for `LABEL_DETECTION` features.
                      "normalizedVertices": [ # The bounding polygon normalized vertices.
                        { # 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.
                          "y": 3.14, # Y coordinate.
                          "x": 3.14, # X coordinate.
                        },
                      ],
                      "vertices": [ # The bounding polygon vertices.
                        { # A vertex represents a 2D point in the image.
                            # NOTE: the vertex coordinates are in the same scale as the original image.
                          "x": 42, # X coordinate.
                          "y": 42, # Y coordinate.
                        },
                      ],
                    },
                    "mid": "A String", # Opaque entity ID. Some IDs may be available in
                        # [Google Knowledge Graph Search
                        # API](https://developers.google.com/knowledge-graph/).
                    "locale": "A String", # The language code for the locale in which the entity textual
                        # `description` is expressed.
                    "topicality": 3.14, # 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].
                    "locations": [ # 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.
                      { # Detected entity location information.
                        "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
                            # of doubles representing degrees latitude and degrees longitude. Unless
                            # specified otherwise, this must conform to the
                            # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                            # standard</a>. Values must be within normalized ranges.
                          "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                          "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                        },
                      },
                    ],
                    "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
                        # fields, such a score or string that qualifies the entity.
                      { # A `Property` consists of a user-supplied name/value pair.
                        "value": "A String", # Value of the property.
                        "uint64Value": "A String", # Value of numeric properties.
                        "name": "A String", # Name of the property.
                      },
                    ],
                    "score": 3.14, # Overall score of the result. Range [0, 1].
                  },
                ],
              },
            ],
            "error": { # The `Status` type defines a logical error model that is suitable for # If set, represents the error message for the failed request. The
                # `responses` field will not be set in this case.
                # 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).
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
              "message": "A String", # 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.
            },
          },
        ],
      }

`asyncBatchAnnotate(parent, body=None, x__xgafv=None)`

    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).

    Args:
      parent: string, 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`. (required)
      body: object, The request body.
        The object takes the form of:

    { # Multiple async file annotation requests are batched into a single service
          # call.
        "requests": [ # Required. Individual async file annotation requests for this batch.
          { # An offline file annotation request.
            "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
              "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
                "maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.
                    # of doubles representing degrees latitude and degrees longitude. Unless
                    # specified otherwise, this must conform to the
                    # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                    # standard</a>. Values must be within normalized ranges.
                  "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                  "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                },
                "minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.
                    # of doubles representing degrees latitude and degrees longitude. Unless
                    # specified otherwise, this must conform to the
                    # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
                    # standard</a>. Values must be within normalized ranges.
                  "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
                  "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
                },
              },
              "webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.
                "includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.
              },
              "languageHints": [ # 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).
                "A String",
              ],
              "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
                "productCategories": [ # 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.
                  "A String",
                ],
                "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.
                    # If it is not specified, system discretion will be applied.
                  "normalizedVertices": [ # The bounding polygon normalized vertices.
                    { # 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.
                      "y": 3.14, # Y coordinate.
                      "x": 3.14, # X coordinate.
                    },
                  ],
                  "vertices": [ # The bounding polygon vertices.
                    { # A vertex represents a 2D point in the image.
                        # NOTE: the vertex coordinates are in the same scale as the original image.
                      "x": 42, # X coordinate.
                      "y": 42, # Y coordinate.
                    },
                  ],
                },
                "filter": "A String", # 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 '='.
                "productSet": "A String", # The resource name of a ProductSet to be searched for similar images.
                    #
                    # Format is:
                    # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
              },
              "cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.
                "aspectRatios": [ # 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.
                  3.14,
                ],
              },
            },
            "outputConfig": { # The desired output location and metadata. # Required. The desired output location and metadata (e.g. format).
              "batchSize": 42, # 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.
              "gcsDestination": { # The Google Cloud Storage location where the output will be written to. # The Google Cloud Storage location to write the output(s) to.
                "uri": "A String", # 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.
              },
            },
            "features": [ # Required. Requested features.
              { # 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.
                "maxResults": 42, # Maximum number of results of this type. Does not apply to
                    # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
                "type": "A String", # The feature type.
                "model": "A String", # Model to use for the feature.
                    # Supported values: "builtin/stable" (the default if unset) and
                    # "builtin/latest".
              },
            ],
            "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
              "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
                  # "image/gif" are supported. Wildcards are not supported.
              "content": "A String", # 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.
              "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
                "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
                    # Google Cloud Storage object. Wildcards are not currently supported.
              },
            },
          },
        ],
        "parent": "A String", # 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`.
      }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # This resource represents a long-running operation that is the result of a
          # network API call.
        "done": True or False, # 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.
        "name": "A String", # 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}`.
        "error": { # The `Status` type defines a logical error model that is suitable for # The error result of the operation in case of failure or cancellation.
            # 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).
          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
          "details": [ # A list of messages that carry the error details.  There is a common set of
              # message types for APIs to use.
            {
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
          ],
          "message": "A String", # 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.
        },
        "response": { # The normal response of the operation in case of success.  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`.
          "a_key": "", # Properties of the object. Contains field @type with type URL.
        },
        "metadata": { # 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.
          "a_key": "", # Properties of the object. Contains field @type with type URL.
        },
      }