docs: update docs (#916)

* fix: re-run script

* test: fix noxfile
diff --git a/docs/dyn/vision_v1p2beta1.projects.files.html b/docs/dyn/vision_v1p2beta1.projects.files.html
index bbf1be7..84101d5 100644
--- a/docs/dyn/vision_v1p2beta1.projects.files.html
+++ b/docs/dyn/vision_v1p2beta1.projects.files.html
@@ -123,90 +123,6 @@
     "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.
-        "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
-          "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",
-          ],
-          "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.
-          },
-          "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
-            "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.
-              "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-              "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-            },
-            "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.
-              "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-              "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-            },
-          },
-          "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,
-            ],
-          },
-          "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
-            "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`.
-            "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.
-                  "y": 42, # Y coordinate.
-                  "x": 42, # X coordinate.
-                },
-              ],
-            },
-            "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",
-            ],
-            "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 '='.
-          },
-        },
         "pages": [ # Pages of the file to perform image annotation.
             #
             # Pages starts from 1, we assume the first page of the file is page 1.
@@ -249,6 +165,90 @@
                 # "builtin/latest".
           },
         ],
+        "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
+          "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,
+            ],
+          },
+          "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",
+            ],
+            "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`.
+            "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.
+                  "x": 3.14, # X coordinate.
+                  "y": 3.14, # Y 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.
+                  "y": 42, # Y coordinate.
+                  "x": 42, # X coordinate.
+                },
+              ],
+            },
+          },
+          "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",
+          ],
+          "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.
+          },
+          "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.
+              "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+              "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+            },
+            "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.
+              "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+              "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+            },
+          },
+        },
       },
     ],
   }
@@ -266,7 +266,6 @@
         # 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.
         "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
@@ -289,401 +288,17 @@
         "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.
-            "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.
-              "uri": "A String", # The URI of the file used to produce the 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.
-            },
-            "logoAnnotations": [ # If present, logo detection has completed successfully.
-              { # Set of detected entity features.
-                "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.
-                    "uint64Value": "A String", # Value of numeric properties.
-                    "name": "A String", # Name of the property.
-                    "value": "A String", # Value of the property.
-                  },
-                ],
-                "score": 3.14, # Overall score of the result. 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.
-                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-                    },
-                  },
-                ],
-                "mid": "A String", # Opaque entity ID. Some IDs may be available in
-                    # [Google Knowledge Graph Search
-                    # API](https://developers.google.com/knowledge-graph/).
-                "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].
-                "locale": "A String", # The language code for the locale in which the entity textual
-                    # `description` is expressed.
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "description": "A String", # Entity textual description, expressed in its `locale` language.
-                "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].
-              },
-            ],
-            "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
-              "webEntities": [ # Deduced entities from similar images on the Internet.
-                { # Entity deduced from similar images on the Internet.
-                  "entityId": "A String", # Opaque entity ID.
-                  "description": "A String", # Canonical description of the entity, in English.
-                  "score": 3.14, # Overall relevancy score for the entity.
-                      # Not normalized and not comparable across different image queries.
-                },
-              ],
-              "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
-                { # Metadata for web pages.
-                  "score": 3.14, # (Deprecated) Overall relevancy score for the web page.
-                  "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.
-                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
-                      "url": "A String", # The result image URL.
-                    },
-                  ],
-                  "url": "A String", # The result web page URL.
-                  "pageTitle": "A String", # Title for the web page, may contain HTML markups.
-                  "fullMatchingImages": [ # Fully matching images on the page.
-                      # Can include resized copies of the query image.
-                    { # Metadata for online images.
-                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
-                      "url": "A String", # The result image URL.
-                    },
-                  ],
-                },
-              ],
-              "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.
-                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
-                  "url": "A String", # The result image URL.
-                },
-              ],
-              "visuallySimilarImages": [ # The visually similar image results.
-                { # Metadata for online images.
-                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
-                  "url": "A String", # The result image URL.
-                },
-              ],
-              "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.
-                },
-              ],
-              "fullMatchingImages": [ # Fully matching images from the Internet.
-                  # Can include resized copies of the query image.
-                { # Metadata for online images.
-                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
-                  "url": "A String", # The result image URL.
-                },
-              ],
-            },
-            "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).
-              "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.
-              "violence": "A String", # Likelihood that this image contains violent content.
-              "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.
-              "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.
-              "medical": "A String", # Likelihood that this is a medical image.
-            },
-            "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
-              { # Set of detected entity features.
-                "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.
-                    "uint64Value": "A String", # Value of numeric properties.
-                    "name": "A String", # Name of the property.
-                    "value": "A String", # Value of the property.
-                  },
-                ],
-                "score": 3.14, # Overall score of the result. 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.
-                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-                    },
-                  },
-                ],
-                "mid": "A String", # Opaque entity ID. Some IDs may be available in
-                    # [Google Knowledge Graph Search
-                    # API](https://developers.google.com/knowledge-graph/).
-                "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].
-                "locale": "A String", # The language code for the locale in which the entity textual
-                    # `description` is expressed.
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "description": "A String", # Entity textual description, expressed in its `locale` language.
-                "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].
-              },
-            ],
-            "faceAnnotations": [ # If present, face detection has completed successfully.
-              { # A face annotation object contains the results of face detection.
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "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].
-                "sorrowLikelihood": "A String", # Sorrow 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].
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "angerLikelihood": "A String", # Anger likelihood.
-                "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.
-                      "y": 3.14, # Y coordinate.
-                      "x": 3.14, # X coordinate.
-                      "z": 3.14, # Z coordinate (or depth).
-                    },
-                    "type": "A String", # Face landmark type.
-                  },
-                ],
-                "surpriseLikelihood": "A String", # Surprise likelihood.
-                "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
-                "joyLikelihood": "A String", # Joy likelihood.
-                "underExposedLikelihood": "A String", # Under-exposed 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].
-                "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
-                "blurredLikelihood": "A String", # Blurred likelihood.
-                "headwearLikelihood": "A String", # Headwear likelihood.
-              },
-            ],
-            "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.
-                  "confidence": 3.14, # Confidence of this being a salient region.  Range [0, 1].
-                  "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.
-                        "y": 42, # Y coordinate.
-                        "x": 42, # X coordinate.
-                      },
-                    ],
-                  },
-                },
-              ],
-            },
-            "labelAnnotations": [ # If present, label detection has completed successfully.
-              { # Set of detected entity features.
-                "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.
-                    "uint64Value": "A String", # Value of numeric properties.
-                    "name": "A String", # Name of the property.
-                    "value": "A String", # Value of the property.
-                  },
-                ],
-                "score": 3.14, # Overall score of the result. 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.
-                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-                    },
-                  },
-                ],
-                "mid": "A String", # Opaque entity ID. Some IDs may be available in
-                    # [Google Knowledge Graph Search
-                    # API](https://developers.google.com/knowledge-graph/).
-                "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].
-                "locale": "A String", # The language code for the locale in which the entity textual
-                    # `description` is expressed.
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "description": "A String", # Entity textual description, expressed in its `locale` language.
-                "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].
-              },
-            ],
             "localizedObjectAnnotations": [ # If present, localized object detection has completed successfully.
                 # This will be sorted descending by confidence score.
               { # Set of detected objects with bounding boxes.
-                "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.
-                "mid": "A String", # Object ID that should align with EntityAnnotation mid.
                 "name": "A String", # Object name, expressed in its `language_code` language.
                 "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.
+                      "y": 3.14, # Y coordinate.
                     },
                   ],
                   "vertices": [ # The bounding polygon vertices.
@@ -695,110 +310,18 @@
                   ],
                 },
                 "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.
+                "mid": "A String", # Object ID that should align with EntityAnnotation mid.
               },
             ],
             "productSearchResults": { # Results for a product search request. # If present, product search has completed successfully.
-              "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.
-              "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].
-                      "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.
-                      "mid": "A String", # Object ID that should align with EntityAnnotation mid.
-                      "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.
-                        "y": 42, # Y coordinate.
-                        "x": 42, # X 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.
-                        "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.
-                        "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
-                            # 4096 characters long.
-                        "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.
-                        "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.
-                            "value": "A String", # The value of the label attached to the product. Cannot be empty and
-                                # cannot exceed 128 bytes.
-                            "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
-                                # exceed 128 bytes.
-                          },
-                        ],
-                      },
-                      "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
-                          # 1 (full confidence).
-                    },
-                  ],
-                },
-              ],
               "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.
-                    "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.
-                    "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
-                        # 4096 characters long.
-                    "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.
                     "productLabels": [ # Key-value pairs that can be attached to a product. At query time,
                         # constraints can be specified based on the product_labels.
                         #
@@ -819,11 +342,107 @@
                             # exceed 128 bytes.
                       },
                     ],
+                    "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.
+                    "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+                        # 4096 characters long.
+                    "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.
+              "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.
+                      "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.
+                      "mid": "A String", # Object ID that should align with EntityAnnotation mid.
+                      "name": "A String", # Object name, expressed in its `language_code` language.
+                      "score": 3.14, # Score of the result. Range [0, 1].
+                    },
+                  ],
+                  "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.
+                        "x": 3.14, # X coordinate.
+                        "y": 3.14, # Y 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.
+                        "y": 42, # Y coordinate.
+                        "x": 42, # X 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.
+                        "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.
+                            "value": "A String", # The value of the label attached to the product. Cannot be empty and
+                                # cannot exceed 128 bytes.
+                            "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
+                                # exceed 128 bytes.
+                          },
+                        ],
+                        "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.
+                        "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+                            # 4096 characters long.
+                        "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).
+                    },
+                  ],
+                },
+              ],
             },
             "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
@@ -855,6 +474,7 @@
                 # 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
@@ -900,8 +520,8 @@
                           { # 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.
+                            "y": 3.14, # Y coordinate.
                           },
                         ],
                         "vertices": [ # The bounding polygon vertices.
@@ -915,20 +535,6 @@
                       "confidence": 3.14, # Confidence of the OCR results on the block. Range [0, 1].
                       "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.
-                          "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
-                            "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].
-                              },
-                            ],
-                            "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
-                              "type": "A String", # Detected break type.
-                              "isPrefix": True or False, # True if break prepends the element.
-                            },
-                          },
                           "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
@@ -948,8 +554,8 @@
                               { # 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.
+                                "y": 3.14, # Y coordinate.
                               },
                             ],
                             "vertices": [ # The bounding polygon vertices.
@@ -963,20 +569,6 @@
                           "confidence": 3.14, # Confidence of the OCR results for the paragraph. 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.
-                                "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].
-                                  },
-                                ],
-                                "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
-                                  "type": "A String", # Detected break type.
-                                  "isPrefix": True or False, # True if break prepends the element.
-                                },
-                              },
                               "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
@@ -996,8 +588,8 @@
                                   { # 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.
+                                    "y": 3.14, # Y coordinate.
                                   },
                                 ],
                                 "vertices": [ # The bounding polygon vertices.
@@ -1012,6 +604,21 @@
                               "symbols": [ # List of symbols in the word.
                                   # The order of the symbols follows the natural reading order.
                                 { # A single symbol representation.
+                                  "text": "A String", # The actual UTF-8 representation of the symbol.
+                                  "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
+                                    "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].
+                                      },
+                                    ],
+                                    "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+                                      "type": "A String", # Detected break type.
+                                      "isPrefix": True or False, # True if break prepends the element.
+                                    },
+                                  },
                                   "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
@@ -1031,8 +638,8 @@
                                       { # 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.
+                                        "y": 3.14, # Y coordinate.
                                       },
                                     ],
                                     "vertices": [ # The bounding polygon vertices.
@@ -1044,25 +651,38 @@
                                     ],
                                   },
                                   "confidence": 3.14, # Confidence of the OCR results for the symbol. Range [0, 1].
-                                  "text": "A String", # The actual UTF-8 representation of the symbol.
-                                  "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
-                                    "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].
-                                      },
-                                    ],
-                                    "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
-                                      "type": "A String", # Detected break type.
-                                      "isPrefix": True or False, # True if break prepends the element.
-                                    },
-                                  },
                                 },
                               ],
+                              "property": { # Additional information detected on the structural component. # Additional information detected for the word.
+                                "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].
+                                  },
+                                ],
+                                "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+                                  "type": "A String", # Detected break type.
+                                  "isPrefix": True or False, # True if break prepends the element.
+                                },
+                              },
                             },
                           ],
+                          "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
+                            "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].
+                              },
+                            ],
+                            "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+                              "type": "A String", # Detected break type.
+                              "isPrefix": True or False, # True if break prepends the element.
+                            },
+                          },
                         },
                       ],
                     },
@@ -1086,16 +706,41 @@
                       # TIFFs) the unit is pixels.
                 },
               ],
-              "text": "A String", # UTF-8 text detected on the pages.
             },
             "textAnnotations": [ # If present, text (OCR) detection has completed successfully.
               { # Set of detected entity features.
+                "locale": "A String", # The language code for the locale in which the entity textual
+                    # `description` is expressed.
+                "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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "description": "A String", # Entity textual description, expressed in its `locale` language.
+                "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].
                 "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.
-                    "value": "A String", # Value of the property.
                   },
                 ],
                 "score": 3.14, # Overall score of the result. Range [0, 1].
@@ -1123,32 +768,6 @@
                     # 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].
-                "locale": "A String", # The language code for the locale in which the entity textual
-                    # `description` is expressed.
-                "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.
-                      "y": 42, # Y coordinate.
-                      "x": 42, # X coordinate.
-                    },
-                  ],
-                },
-                "description": "A String", # Entity textual description, expressed in its `locale` language.
-                "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].
               },
             ],
             "imagePropertiesAnnotation": { # Stores image properties, such as dominant colors. # If present, image properties were extracted successfully.
@@ -1277,7 +896,6 @@
                         #     };
                         #
                         #     // ...
-                      "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].
                       "blue": 3.14, # The amount of blue 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,
@@ -1291,12 +909,393 @@
                           # 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).
+                      "red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
                     },
                     "score": 3.14, # Image-specific score for this color. Value in range [0, 1].
                   },
                 ],
               },
             },
+            "logoAnnotations": [ # If present, logo detection has completed successfully.
+              { # Set of detected entity features.
+                "locale": "A String", # The language code for the locale in which the entity textual
+                    # `description` is expressed.
+                "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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "description": "A String", # Entity textual description, expressed in its `locale` language.
+                "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].
+                "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].
+                "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.
+                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+                    },
+                  },
+                ],
+                "mid": "A String", # Opaque entity ID. Some IDs may be available in
+                    # [Google Knowledge Graph Search
+                    # API](https://developers.google.com/knowledge-graph/).
+                "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].
+              },
+            ],
+            "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.
+              "uri": "A String", # The URI of the file used to produce the 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.
+            },
+            "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
+              "visuallySimilarImages": [ # The visually similar image results.
+                { # Metadata for online images.
+                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+                  "url": "A String", # The result image URL.
+                },
+              ],
+              "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.
+                },
+              ],
+              "fullMatchingImages": [ # Fully matching images from the Internet.
+                  # Can include resized copies of the query image.
+                { # Metadata for online images.
+                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+                  "url": "A String", # The result image URL.
+                },
+              ],
+              "webEntities": [ # Deduced entities from similar images on the Internet.
+                { # Entity deduced from similar images on the Internet.
+                  "entityId": "A String", # Opaque entity ID.
+                  "description": "A String", # Canonical description of the entity, in English.
+                  "score": 3.14, # Overall relevancy score for the entity.
+                      # Not normalized and not comparable across different image queries.
+                },
+              ],
+              "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
+                { # Metadata for web pages.
+                  "score": 3.14, # (Deprecated) Overall relevancy score for the web page.
+                  "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.
+                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+                      "url": "A String", # The result image URL.
+                    },
+                  ],
+                  "url": "A String", # The result web page URL.
+                  "pageTitle": "A String", # Title for the web page, may contain HTML markups.
+                  "fullMatchingImages": [ # Fully matching images on the page.
+                      # Can include resized copies of the query image.
+                    { # Metadata for online images.
+                      "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+                      "url": "A String", # The result image URL.
+                    },
+                  ],
+                },
+              ],
+              "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.
+                  "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+                  "url": "A String", # The result image URL.
+                },
+              ],
+            },
+            "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).
+              "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.
+              "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.
+              "medical": "A String", # Likelihood that this is a medical image.
+              "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.
+              "violence": "A String", # Likelihood that this image contains violent content.
+            },
+            "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
+              { # Set of detected entity features.
+                "locale": "A String", # The language code for the locale in which the entity textual
+                    # `description` is expressed.
+                "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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "description": "A String", # Entity textual description, expressed in its `locale` language.
+                "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].
+                "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].
+                "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.
+                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+                    },
+                  },
+                ],
+                "mid": "A String", # Opaque entity ID. Some IDs may be available in
+                    # [Google Knowledge Graph Search
+                    # API](https://developers.google.com/knowledge-graph/).
+                "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].
+              },
+            ],
+            "faceAnnotations": [ # If present, face detection has completed successfully.
+              { # A face annotation object contains the results of face detection.
+                "underExposedLikelihood": "A String", # Under-exposed 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].
+                "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
+                "blurredLikelihood": "A String", # Blurred likelihood.
+                "headwearLikelihood": "A String", # Headwear 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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "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].
+                "sorrowLikelihood": "A String", # Sorrow 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].
+                "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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "angerLikelihood": "A String", # Anger likelihood.
+                "landmarks": [ # Detected face landmarks.
+                  { # A face-specific landmark (for example, a face feature).
+                    "type": "A String", # Face landmark type.
+                    "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.
+                      "x": 3.14, # X coordinate.
+                      "z": 3.14, # Z coordinate (or depth).
+                      "y": 3.14, # Y coordinate.
+                    },
+                  },
+                ],
+                "surpriseLikelihood": "A String", # Surprise likelihood.
+                "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
+                "joyLikelihood": "A String", # Joy likelihood.
+              },
+            ],
+            "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.
+                  "confidence": 3.14, # Confidence of this being a salient region.  Range [0, 1].
+                  "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.
+                        "x": 3.14, # X coordinate.
+                        "y": 3.14, # Y 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.
+                        "y": 42, # Y coordinate.
+                        "x": 42, # X coordinate.
+                      },
+                    ],
+                  },
+                },
+              ],
+            },
+            "labelAnnotations": [ # If present, label detection has completed successfully.
+              { # Set of detected entity features.
+                "locale": "A String", # The language code for the locale in which the entity textual
+                    # `description` is expressed.
+                "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.
+                      "x": 3.14, # X coordinate.
+                      "y": 3.14, # Y 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.
+                      "y": 42, # Y coordinate.
+                      "x": 42, # X coordinate.
+                    },
+                  ],
+                },
+                "description": "A String", # Entity textual description, expressed in its `locale` language.
+                "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].
+                "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].
+                "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.
+                      "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+                      "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+                    },
+                  },
+                ],
+                "mid": "A String", # Opaque entity ID. Some IDs may be available in
+                    # [Google Knowledge Graph Search
+                    # API](https://developers.google.com/knowledge-graph/).
+                "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].
+              },
+            ],
           },
         ],
         "inputConfig": { # The desired input location and metadata. # Information about the file for which this response is generated.
@@ -1313,6 +1312,7 @@
               # Currently, this field only works for BatchAnnotateFiles requests. It does
               # not work for AsyncBatchAnnotateFiles requests.
         },
+        "totalPages": 42, # This field gives the total number of pages in the file.
       },
     ],
   }</pre>
@@ -1347,38 +1347,33 @@
       # call.
     &quot;requests&quot;: [ # Required. Individual async file annotation requests for this batch.
       { # An offline file annotation request.
+        &quot;inputConfig&quot;: { # The desired input location and metadata. # Required. Information about the input file.
+          &quot;gcsSource&quot;: { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
+            &quot;uri&quot;: &quot;A String&quot;, # Google Cloud Storage URI for the input file. This must only be a
+                # Google Cloud Storage object. Wildcards are not currently supported.
+          },
+          &quot;mimeType&quot;: &quot;A String&quot;, # The type of the file. Currently only &quot;application/pdf&quot;, &quot;image/tiff&quot; and
+              # &quot;image/gif&quot; are supported. Wildcards are not supported.
+          &quot;content&quot;: &quot;A String&quot;, # 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.
+        },
+        &quot;features&quot;: [ # 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.
+            &quot;type&quot;: &quot;A String&quot;, # The feature type.
+            &quot;maxResults&quot;: 42, # Maximum number of results of this type. Does not apply to
+                # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
+            &quot;model&quot;: &quot;A String&quot;, # Model to use for the feature.
+                # Supported values: &quot;builtin/stable&quot; (the default if unset) and
+                # &quot;builtin/latest&quot;.
+          },
+        ],
         &quot;imageContext&quot;: { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
-          &quot;languageHints&quot;: [ # 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).
-            &quot;A String&quot;,
-          ],
-          &quot;webDetectionParams&quot;: { # Parameters for web detection request. # Parameters for web detection.
-            &quot;includeGeoResults&quot;: True or False, # Whether to include results derived from the geo information in the image.
-          },
-          &quot;latLongRect&quot;: { # Rectangle determined by min and max `LatLng` pairs. # Not used.
-            &quot;minLatLng&quot;: { # 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
-                # &lt;a href=&quot;http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf&quot;&gt;WGS84
-                # standard&lt;/a&gt;. Values must be within normalized ranges.
-              &quot;latitude&quot;: 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-              &quot;longitude&quot;: 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-            },
-            &quot;maxLatLng&quot;: { # 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
-                # &lt;a href=&quot;http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf&quot;&gt;WGS84
-                # standard&lt;/a&gt;. Values must be within normalized ranges.
-              &quot;latitude&quot;: 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
-              &quot;longitude&quot;: 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
-            },
-          },
           &quot;cropHintsParams&quot;: { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.
             &quot;aspectRatios&quot;: [ # 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
@@ -1390,28 +1385,6 @@
             ],
           },
           &quot;productSearchParams&quot;: { # Parameters for a product search request. # Parameters for product search.
-            &quot;productSet&quot;: &quot;A String&quot;, # The resource name of a ProductSet to be searched for similar images.
-                #
-                # Format is:
-                # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
-            &quot;boundingPoly&quot;: { # 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.
-              &quot;normalizedVertices&quot;: [ # 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.
-                  &quot;y&quot;: 3.14, # Y coordinate.
-                  &quot;x&quot;: 3.14, # X coordinate.
-                },
-              ],
-              &quot;vertices&quot;: [ # 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.
-                  &quot;y&quot;: 42, # Y coordinate.
-                  &quot;x&quot;: 42, # X coordinate.
-                },
-              ],
-            },
             &quot;productCategories&quot;: [ # The list of product categories to search in. Currently, we only consider
                 # the first category, and either &quot;homegoods-v2&quot;, &quot;apparel-v2&quot;, &quot;toys-v2&quot;,
                 # &quot;packagedgoods-v1&quot;, or &quot;general-v1&quot; should be specified. The legacy
@@ -1429,6 +1402,59 @@
                 # For example, &quot;(color = red OR color = blue) AND brand = Google&quot; is
                 # acceptable, but &quot;(color = red OR brand = Google)&quot; is not acceptable.
                 # &quot;color: red&quot; is not acceptable because it uses a &#x27;:&#x27; instead of an &#x27;=&#x27;.
+            &quot;productSet&quot;: &quot;A String&quot;, # The resource name of a ProductSet to be searched for similar images.
+                #
+                # Format is:
+                # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
+            &quot;boundingPoly&quot;: { # 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.
+              &quot;normalizedVertices&quot;: [ # 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.
+                  &quot;x&quot;: 3.14, # X coordinate.
+                  &quot;y&quot;: 3.14, # Y coordinate.
+                },
+              ],
+              &quot;vertices&quot;: [ # 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.
+                  &quot;y&quot;: 42, # Y coordinate.
+                  &quot;x&quot;: 42, # X coordinate.
+                },
+              ],
+            },
+          },
+          &quot;languageHints&quot;: [ # 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).
+            &quot;A String&quot;,
+          ],
+          &quot;webDetectionParams&quot;: { # Parameters for web detection request. # Parameters for web detection.
+            &quot;includeGeoResults&quot;: True or False, # Whether to include results derived from the geo information in the image.
+          },
+          &quot;latLongRect&quot;: { # Rectangle determined by min and max `LatLng` pairs. # Not used.
+            &quot;maxLatLng&quot;: { # 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
+                # &lt;a href=&quot;http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf&quot;&gt;WGS84
+                # standard&lt;/a&gt;. Values must be within normalized ranges.
+              &quot;latitude&quot;: 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+              &quot;longitude&quot;: 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+            },
+            &quot;minLatLng&quot;: { # 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
+                # &lt;a href=&quot;http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf&quot;&gt;WGS84
+                # standard&lt;/a&gt;. Values must be within normalized ranges.
+              &quot;latitude&quot;: 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+              &quot;longitude&quot;: 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+            },
           },
         },
         &quot;outputConfig&quot;: { # The desired output location and metadata. # Required. The desired output location and metadata (e.g. format).
@@ -1468,32 +1494,6 @@
               # Currently, batch_size only applies to GcsDestination, with potential future
               # support for other output configurations.
         },
-        &quot;inputConfig&quot;: { # The desired input location and metadata. # Required. Information about the input file.
-          &quot;gcsSource&quot;: { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
-            &quot;uri&quot;: &quot;A String&quot;, # Google Cloud Storage URI for the input file. This must only be a
-                # Google Cloud Storage object. Wildcards are not currently supported.
-          },
-          &quot;mimeType&quot;: &quot;A String&quot;, # The type of the file. Currently only &quot;application/pdf&quot;, &quot;image/tiff&quot; and
-              # &quot;image/gif&quot; are supported. Wildcards are not supported.
-          &quot;content&quot;: &quot;A String&quot;, # 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.
-        },
-        &quot;features&quot;: [ # 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.
-            &quot;type&quot;: &quot;A String&quot;, # The feature type.
-            &quot;maxResults&quot;: 42, # Maximum number of results of this type. Does not apply to
-                # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
-            &quot;model&quot;: &quot;A String&quot;, # Model to use for the feature.
-                # Supported values: &quot;builtin/stable&quot; (the default if unset) and
-                # &quot;builtin/latest&quot;.
-          },
-        ],
       },
     ],
     &quot;parent&quot;: &quot;A String&quot;, # Optional. Target project and location to make a call.