Api-Roll 50: 2017-06-12

discovery/googleapis/vision__v1.json

 {
     "auth": {
         "oauth2": {
             "scopes": {
                 "https://www.googleapis.com/auth/cloud-platform": {
                     "description": "View and manage your data across Google Cloud Platform services"
                 }
             }
         }
     },
     "basePath": "",
     "baseUrl": "https://vision.googleapis.com/",
     "batchPath": "batch",
     "canonicalName": "Vision",
     "description": "Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.",
     "discoveryVersion": "v1",
     "documentationLink": "https://cloud.google.com/vision/",
     "icons": {
         "x16": "http://www.google.com/images/icons/product/search-16.gif",
         "x32": "http://www.google.com/images/icons/product/search-32.gif"
     },
     "id": "vision:v1",
     "kind": "discovery#restDescription",
     "name": "vision",
     "ownerDomain": "google.com",
     "ownerName": "Google",
     "parameters": {
-        "pp": {
-            "default": "true",
-            "description": "Pretty-print response.",
-            "location": "query",
-            "type": "boolean"
-        },
-        "bearer_token": {
-            "description": "OAuth bearer token.",
-            "location": "query",
-            "type": "string"
-        },
-        "oauth_token": {
-            "description": "OAuth 2.0 token for the current user.",
-            "location": "query",
-            "type": "string"
-        },
         "upload_protocol": {
             "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
             "location": "query",
             "type": "string"
         },
         "prettyPrint": {
             "default": "true",
             "description": "Returns response with indentations and line breaks.",
             "location": "query",
             "type": "boolean"
         },
         "uploadType": {
             "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
             "location": "query",
             "type": "string"
         },
         "fields": {
             "description": "Selector specifying which fields to include in a partial response.",
             "location": "query",
             "type": "string"
         },
-        "callback": {
-            "description": "JSONP",
-            "location": "query",
-            "type": "string"
-        },
         "$.xgafv": {
             "description": "V1 error format.",
             "enum": [
                 "1",
                 "2"
             ],
             "enumDescriptions": [
                 "v1 error format",
                 "v2 error format"
             ],
             "location": "query",
             "type": "string"
         },
+        "callback": {
+            "description": "JSONP",
+            "location": "query",
+            "type": "string"
+        },
         "alt": {
             "default": "json",
             "description": "Data format for response.",
             "enum": [
                 "json",
                 "media",
                 "proto"
             ],
             "enumDescriptions": [
                 "Responses with Content-Type of application/json",
                 "Media download with context-dependent Content-Type",
                 "Responses with Content-Type of application/x-protobuf"
             ],
             "location": "query",
             "type": "string"
         },
+        "access_token": {
+            "description": "OAuth access token.",
+            "location": "query",
+            "type": "string"
+        },
         "key": {
             "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
             "location": "query",
             "type": "string"
         },
-        "access_token": {
-            "description": "OAuth access token.",
-            "location": "query",
-            "type": "string"
-        },
         "quotaUser": {
             "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.",
             "location": "query",
             "type": "string"
+        },
+        "pp": {
+            "default": "true",
+            "description": "Pretty-print response.",
+            "location": "query",
+            "type": "boolean"
+        },
+        "oauth_token": {
+            "description": "OAuth 2.0 token for the current user.",
+            "location": "query",
+            "type": "string"
+        },
+        "bearer_token": {
+            "description": "OAuth bearer token.",
+            "location": "query",
+            "type": "string"
         }
     },
     "protocol": "rest",
     "resources": {
         "images": {
             "methods": {
                 "annotate": {
                     "description": "Run image detection and annotation for a batch of images.",
                     "httpMethod": "POST",
                     "id": "vision.images.annotate",
                     "parameterOrder": [],
                     "parameters": {},
                     "path": "v1/images:annotate",
                     "request": {
                         "$ref": "BatchAnnotateImagesRequest"
                     },
                     "response": {
                         "$ref": "BatchAnnotateImagesResponse"
                     },
                     "scopes": [
                         "https://www.googleapis.com/auth/cloud-platform"
                     ]
                 }
             }
         }
     },
-    "revision": "20170516",
+    "revision": "20170606",
     "rootUrl": "https://vision.googleapis.com/",
     "schemas": {
-        "CropHintsAnnotation": {
-            "description": "Set of crop hints that are used to generate new crops when serving images.",
-            "id": "CropHintsAnnotation",
-            "properties": {
-                "cropHints": {
-                    "description": "Crop hint results.",
-                    "items": {
-                        "$ref": "CropHint"
-                    },
-                    "type": "array"
-                }
-            },
-            "type": "object"
-        },
-        "LatLng": {
-            "description": "An object representing a latitude/longitude pair. This is expressed as a pair\nof doubles representing degrees latitude and degrees longitude. Unless\nspecified otherwise, this must conform to the\n<a href=\"http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf\">WGS84\nstandard</a>. Values must be within normalized ranges.\n\nExample of normalization code in Python:\n\n    def NormalizeLongitude(longitude):\n      \"\"\"Wraps decimal degrees longitude to [-180.0, 180.0].\"\"\"\n      q, r = divmod(longitude, 360.0)\n      if r > 180.0 or (r == 180.0 and q <= -1.0):\n        return r - 360.0\n      return r\n\n    def NormalizeLatLng(latitude, longitude):\n      \"\"\"Wraps decimal degrees latitude and longitude to\n      [-90.0, 90.0] and [-180.0, 180.0], respectively.\"\"\"\n      r = latitude % 360.0\n      if r <= 90.0:\n        return r, NormalizeLongitude(longitude)\n      elif r >= 270.0:\n        return r - 360, NormalizeLongitude(longitude)\n      else:\n        return 180 - r, NormalizeLongitude(longitude + 180.0)\n\n    assert 180.0 == NormalizeLongitude(180.0)\n    assert -180.0 == NormalizeLongitude(-180.0)\n    assert -179.0 == NormalizeLongitude(181.0)\n    assert (0.0, 0.0) == NormalizeLatLng(360.0, 0.0)\n    assert (0.0, 0.0) == NormalizeLatLng(-360.0, 0.0)\n    assert (85.0, 180.0) == NormalizeLatLng(95.0, 0.0)\n    assert (-85.0, -170.0) == NormalizeLatLng(-95.0, 10.0)\n    assert (90.0, 10.0) == NormalizeLatLng(90.0, 10.0)\n    assert (-90.0, -10.0) == NormalizeLatLng(-90.0, -10.0)\n    assert (0.0, -170.0) == NormalizeLatLng(-180.0, 10.0)\n    assert (0.0, -170.0) == NormalizeLatLng(180.0, 10.0)\n    assert (-90.0, 10.0) == NormalizeLatLng(270.0, 10.0)\n    assert (90.0, 10.0) == NormalizeLatLng(-270.0, 10.0)",
-            "id": "LatLng",
-            "properties": {
-                "latitude": {
-                    "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].",
-                    "format": "double",
-                    "type": "number"
-                },
-                "longitude": {
-                    "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].",
-                    "format": "double",
-                    "type": "number"
-                }
-            },
-            "type": "object"
-        },
-        "Color": {
-            "description": "Represents a color in the RGBA color space. This representation is designed\nfor simplicity of conversion to/from color representations in various\nlanguages over compactness; for example, the fields of this representation\ncan be trivially provided to the constructor of \"java.awt.Color\" in Java; it\ncan also be trivially provided to UIColor's \"+colorWithRed:green:blue:alpha\"\nmethod in iOS; and, with just a little work, it can be easily formatted into\na CSS \"rgba()\" string in JavaScript, as well. Here are some examples:\n\nExample (Java):\n\n     import com.google.type.Color;\n\n     // ...\n     public static java.awt.Color fromProto(Color protocolor) {\n       float alpha = protocolor.hasAlpha()\n           ? protocolor.getAlpha().getValue()\n           : 1.0;\n\n       return new java.awt.Color(\n           protocolor.getRed(),\n           protocolor.getGreen(),\n           protocolor.getBlue(),\n           alpha);\n     }\n\n     public static Color toProto(java.awt.Color color) {\n       float red = (float) color.getRed();\n       float green = (float) color.getGreen();\n       float blue = (float) color.getBlue();\n       float denominator = 255.0;\n       Color.Builder resultBuilder =\n           Color\n               .newBuilder()\n               .setRed(red / denominator)\n               .setGreen(green / denominator)\n               .setBlue(blue / denominator);\n       int alpha = color.getAlpha();\n       if (alpha != 255) {\n         result.setAlpha(\n             FloatValue\n                 .newBuilder()\n                 .setValue(((float) alpha) / denominator)\n                 .build());\n       }\n       return resultBuilder.build();\n     }\n     // ...\n\nExample (iOS / Obj-C):\n\n     // ...\n     static UIColor* fromProto(Color* protocolor) {\n        float red = [protocolor red];\n        float green = [protocolor green];\n        float blue = [protocolor blue];\n        FloatValue* alpha_wrapper = [protocolor alpha];\n        float alpha = 1.0;\n        if (alpha_wrapper != nil) {\n          alpha = [alpha_wrapper value];\n        }\n        return [UIColor colorWithRed:red green:green blue:blue alpha:alpha];\n     }\n\n     static Color* toProto(UIColor* color) {\n         CGFloat red, green, blue, alpha;\n         if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) {\n           return nil;\n         }\n         Color* result = [Color alloc] init];\n         [result setRed:red];\n         [result setGreen:green];\n         [result setBlue:blue];\n         if (alpha <= 0.9999) {\n           [result setAlpha:floatWrapperWithValue(alpha)];\n         }\n         [result autorelease];\n         return result;\n    }\n    // ...\n\n Example (JavaScript):\n\n    // ...\n\n    var protoToCssColor = function(rgb_color) {\n       var redFrac = rgb_color.red || 0.0;\n       var greenFrac = rgb_color.green || 0.0;\n       var blueFrac = rgb_color.blue || 0.0;\n       var red = Math.floor(redFrac * 255);\n       var green = Math.floor(greenFrac * 255);\n       var blue = Math.floor(blueFrac * 255);\n\n       if (!('alpha' in rgb_color)) {\n          return rgbToCssColor_(red, green, blue);\n       }\n\n       var alphaFrac = rgb_color.alpha.value || 0.0;\n       var rgbParams = [red, green, blue].join(',');\n       return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');\n    };\n\n    var rgbToCssColor_ = function(red, green, blue) {\n      var rgbNumber = new Number((red << 16) | (green << 8) | blue);\n      var hexString = rgbNumber.toString(16);\n      var missingZeros = 6 - hexString.length;\n      var resultBuilder = ['#'];\n      for (var i = 0; i < missingZeros; i++) {\n         resultBuilder.push('0');\n      }\n      resultBuilder.push(hexString);\n      return resultBuilder.join('');\n    };\n\n    // ...",
-            "id": "Color",
-            "properties": {
-                "red": {
-                    "description": "The amount of red in the color as a value in the interval [0, 1].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "green": {
-                    "description": "The amount of green in the color as a value in the interval [0, 1].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "blue": {
-                    "description": "The amount of blue in the color as a value in the interval [0, 1].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "alpha": {
-                    "description": "The fraction of this color that should be applied to the pixel. That is,\nthe final pixel color is defined by the equation:\n\n  pixel color = alpha * (this color) + (1.0 - alpha) * (background color)\n\nThis means that a value of 1.0 corresponds to a solid color, whereas\na value of 0.0 corresponds to a completely transparent color. This\nuses a wrapper message rather than a simple float scalar so that it is\npossible to distinguish between a default value and the value being unset.\nIf omitted, this color object is to be rendered as a solid color\n(as if the alpha value had been explicitly given with a value of 1.0).",
-                    "format": "float",
-                    "type": "number"
-                }
-            },
-            "type": "object"
-        },
-        "Feature": {
-            "description": "Users describe the type of Google Cloud Vision API tasks to perform over\nimages by using *Feature*s. Each Feature indicates a type of image\ndetection task to perform. Features encode the Cloud Vision API\nvertical to operate on and the number of top-scoring results to return.",
-            "id": "Feature",
-            "properties": {
-                "type": {
-                    "description": "The feature type.",
-                    "enum": [
-                        "TYPE_UNSPECIFIED",
-                        "FACE_DETECTION",
-                        "LANDMARK_DETECTION",
-                        "LOGO_DETECTION",
-                        "LABEL_DETECTION",
-                        "TEXT_DETECTION",
-                        "DOCUMENT_TEXT_DETECTION",
-                        "SAFE_SEARCH_DETECTION",
-                        "IMAGE_PROPERTIES",
-                        "CROP_HINTS",
-                        "WEB_DETECTION"
-                    ],
-                    "enumDescriptions": [
-                        "Unspecified feature type.",
-                        "Run face detection.",
-                        "Run landmark detection.",
-                        "Run logo detection.",
-                        "Run label detection.",
-                        "Run OCR.",
-                        "Run dense text document OCR. Takes precedence when both\nDOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.",
-                        "Run computer vision models to compute image safe-search properties.",
-                        "Compute a set of image properties, such as the image's dominant colors.",
-                        "Run crop hints.",
-                        "Run web detection."
-                    ],
-                    "type": "string"
-                },
-                "maxResults": {
-                    "description": "Maximum number of results of this type.",
-                    "format": "int32",
-                    "type": "integer"
-                }
-            },
-            "type": "object"
-        },
-        "ImageProperties": {
-            "description": "Stores image properties, such as dominant colors.",
-            "id": "ImageProperties",
-            "properties": {
-                "dominantColors": {
-                    "$ref": "DominantColorsAnnotation",
-                    "description": "If present, dominant colors completed successfully."
-                }
-            },
-            "type": "object"
-        },
         "SafeSearchAnnotation": {
             "description": "Set of features pertaining to the image, computed by computer vision\nmethods over safe-search verticals (for example, adult, spoof, medical,\nviolence).",
             "id": "SafeSearchAnnotation",
             "properties": {
                 "violence": {
                     "description": "Violence likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
@@ skipping 103 matching lines @@
                     "description": "UTF-8 text detected on the pages.",
                     "type": "string"
                 }
             },
             "type": "object"
         },
         "DetectedLanguage": {
             "description": "Detected language for a structural component.",
             "id": "DetectedLanguage",
             "properties": {
-                "languageCode": {
-                    "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more\ninformation, see\nhttp://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
-                    "type": "string"
-                },
                 "confidence": {
                     "description": "Confidence of detected language. Range [0, 1].",
                     "format": "float",
                     "type": "number"
+                },
+                "languageCode": {
+                    "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more\ninformation, see\nhttp://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
+                    "type": "string"
                 }
             },
             "type": "object"
         },
         "Vertex": {
             "description": "A vertex represents a 2D point in the image.\nNOTE: the vertex coordinates are in the same scale as the original image.",
             "id": "Vertex",
             "properties": {
+                "x": {
+                    "description": "X coordinate.",
+                    "format": "int32",
+                    "type": "integer"
+                },
                 "y": {
                     "description": "Y coordinate.",
                     "format": "int32",
                     "type": "integer"
-                },
-                "x": {
-                    "description": "X coordinate.",
-                    "format": "int32",
-                    "type": "integer"
                 }
             },
             "type": "object"
         },
         "TextProperty": {
             "description": "Additional information detected on the structural component.",
             "id": "TextProperty",
             "properties": {
                 "detectedLanguages": {
                     "description": "A list of detected languages together with confidence.",
                     "items": {
                         "$ref": "DetectedLanguage"
                     },
                     "type": "array"
                 },
                 "detectedBreak": {
                     "$ref": "DetectedBreak",
                     "description": "Detected start or end of a text segment."
                 }
             },
             "type": "object"
         },
-        "BoundingPoly": {
-            "description": "A bounding polygon for the detected image annotation.",
-            "id": "BoundingPoly",
-            "properties": {
-                "vertices": {
-                    "description": "The bounding polygon vertices.",
-                    "items": {
-                        "$ref": "Vertex"
-                    },
-                    "type": "array"
-                }
-            },
-            "type": "object"
-        },
         "WebEntity": {
             "description": "Entity deduced from similar images on the Internet.",
             "id": "WebEntity",
             "properties": {
+                "score": {
+                    "description": "Overall relevancy score for the entity.\nNot normalized and not comparable across different image queries.",
+                    "format": "float",
+                    "type": "number"
+                },
                 "entityId": {
                     "description": "Opaque entity ID.",
                     "type": "string"
                 },
                 "description": {
                     "description": "Canonical description of the entity, in English.",
                     "type": "string"
-                },
-                "score": {
-                    "description": "Overall relevancy score for the entity.\nNot normalized and not comparable across different image queries.",
-                    "format": "float",
-                    "type": "number"
+                }
+            },
+            "type": "object"
+        },
+        "BoundingPoly": {
+            "description": "A bounding polygon for the detected image annotation.",
+            "id": "BoundingPoly",
+            "properties": {
+                "vertices": {
+                    "description": "The bounding polygon vertices.",
+                    "items": {
+                        "$ref": "Vertex"
+                    },
+                    "type": "array"
                 }
             },
             "type": "object"
         },
         "AnnotateImageResponse": {
             "description": "Response to an image annotation request.",
             "id": "AnnotateImageResponse",
             "properties": {
-                "landmarkAnnotations": {
-                    "description": "If present, landmark detection has completed successfully.",
-                    "items": {
-                        "$ref": "EntityAnnotation"
-                    },
-                    "type": "array"
-                },
-                "textAnnotations": {
-                    "description": "If present, text (OCR) detection has completed successfully.",
-                    "items": {
-                        "$ref": "EntityAnnotation"
-                    },
-                    "type": "array"
-                },
-                "faceAnnotations": {
-                    "description": "If present, face detection has completed successfully.",
-                    "items": {
-                        "$ref": "FaceAnnotation"
-                    },
-                    "type": "array"
-                },
-                "imagePropertiesAnnotation": {
-                    "$ref": "ImageProperties",
-                    "description": "If present, image properties were extracted successfully."
-                },
                 "logoAnnotations": {
                     "description": "If present, logo detection has completed successfully.",
                     "items": {
                         "$ref": "EntityAnnotation"
                     },
                     "type": "array"
                 },
                 "cropHintsAnnotation": {
                     "$ref": "CropHintsAnnotation",
                     "description": "If present, crop hints have completed successfully."
@@ skipping 13 matching lines @@
                     "$ref": "SafeSearchAnnotation",
                     "description": "If present, safe-search annotation has completed successfully."
                 },
                 "error": {
                     "$ref": "Status",
                     "description": "If set, represents the error message for the operation.\nNote that filled-in image annotations are guaranteed to be\ncorrect, even when `error` is set."
                 },
                 "fullTextAnnotation": {
                     "$ref": "TextAnnotation",
                     "description": "If present, text (OCR) detection or document (OCR) text detection has\ncompleted successfully.\nThis annotation provides the structural hierarchy for the OCR detected\ntext."
+                },
+                "landmarkAnnotations": {
+                    "description": "If present, landmark detection has completed successfully.",
+                    "items": {
+                        "$ref": "EntityAnnotation"
+                    },
+                    "type": "array"
+                },
+                "textAnnotations": {
+                    "description": "If present, text (OCR) detection has completed successfully.",
+                    "items": {
+                        "$ref": "EntityAnnotation"
+                    },
+                    "type": "array"
+                },
+                "imagePropertiesAnnotation": {
+                    "$ref": "ImageProperties",
+                    "description": "If present, image properties were extracted successfully."
+                },
+                "faceAnnotations": {
+                    "description": "If present, face detection has completed successfully.",
+                    "items": {
+                        "$ref": "FaceAnnotation"
+                    },
+                    "type": "array"
                 }
             },
             "type": "object"
         },
         "CropHintsParams": {
             "description": "Parameters for crop hints annotation request.",
             "id": "CropHintsParams",
             "properties": {
                 "aspectRatios": {
                     "description": "Aspect ratios in floats, representing the ratio of the width to the height\nof the image. For example, if the desired aspect ratio is 4/3, the\ncorresponding float value should be 1.33333.  If not specified, the\nbest possible crop is returned. The number of provided aspect ratios is\nlimited to a maximum of 16; any aspect ratios provided after the 16th are\nignored.",
                     "items": {
                         "format": "float",
                         "type": "number"
                     },
                     "type": "array"
                 }
             },
             "type": "object"
         },
         "Block": {
             "description": "Logical element on the page.",
             "id": "Block",
             "properties": {
-                "paragraphs": {
-                    "description": "List of paragraphs in this block (if this blocks is of type text).",
-                    "items": {
-                        "$ref": "Paragraph"
-                    },
-                    "type": "array"
-                },
-                "property": {
-                    "$ref": "TextProperty",
-                    "description": "Additional information detected for the block."
-                },
                 "blockType": {
                     "description": "Detected block type (text, image etc) for this block.",
                     "enum": [
                         "UNKNOWN",
                         "TEXT",
                         "TABLE",
                         "PICTURE",
                         "RULER",
                         "BARCODE"
                     ],
                     "enumDescriptions": [
                         "Unknown block type.",
                         "Regular text block.",
                         "Table block.",
                         "Image block.",
                         "Horizontal/vertical line box.",
                         "Barcode block."
                     ],
                     "type": "string"
                 },
                 "boundingBox": {
                     "$ref": "BoundingPoly",
                     "description": "The bounding box for the block.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n  * when the text is horizontal it might look like:\n     0----1\n     |    |\n     3----2\n  * when it's rotated 180 degrees around the top-left corner it becomes:\n     2----3\n     |    |\n     1----0\n  and the vertice order will still be (0, 1, 2, 3)."
+                },
+                "paragraphs": {
+                    "description": "List of paragraphs in this block (if this blocks is of type text).",
+                    "items": {
+                        "$ref": "Paragraph"
+                    },
+                    "type": "array"
+                },
+                "property": {
+                    "$ref": "TextProperty",
+                    "description": "Additional information detected for the block."
                 }
             },
             "type": "object"
         },
         "Property": {
             "description": "A `Property` consists of a user-supplied name/value pair.",
             "id": "Property",
             "properties": {
                 "uint64Value": {
                     "description": "Value of numeric properties.",
@@ skipping 15 matching lines @@
             "description": "Detected entity location information.",
             "id": "LocationInfo",
             "properties": {
                 "latLng": {
                     "$ref": "LatLng",
                     "description": "lat/long location coordinates."
                 }
             },
             "type": "object"
         },
+        "ImageSource": {
+            "description": "External image source (Google Cloud Storage image location).",
+            "id": "ImageSource",
+            "properties": {
+                "gcsImageUri": {
+                    "description": "NOTE: For new code `image_uri` below is preferred.\nGoogle Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.",
+                    "type": "string"
+                },
+                "imageUri": {
+                    "description": "Image URI which supports:\n1) Google Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.\n2) Publicly accessible image HTTP/HTTPS URL.\nThis is preferred over the legacy `gcs_image_uri` above. When both\n`gcs_image_uri` and `image_uri` are specified, `image_uri` takes\nprecedence.",
+                    "type": "string"
+                }
+            },
+            "type": "object"
+        },
+        "BatchAnnotateImagesResponse": {
+            "description": "Response to a batch image annotation request.",
+            "id": "BatchAnnotateImagesResponse",
+            "properties": {
+                "responses": {
+                    "description": "Individual responses to image annotation requests within the batch.",
+                    "items": {
+                        "$ref": "AnnotateImageResponse"
+                    },
+                    "type": "array"
+                }
+            },
+            "type": "object"
+        },
         "WebDetection": {
             "description": "Relevant information for the image from the Internet.",
             "id": "WebDetection",
             "properties": {
-                "partialMatchingImages": {
-                    "description": "Partial matching images from the Internet.\nThose images are similar enough to share some key-point features. For\nexample an original image will likely have partial matching for its crops.",
-                    "items": {
-                        "$ref": "WebImage"
-                    },
-                    "type": "array"
-                },
-                "visuallySimilarImages": {
-                    "description": "The visually similar image results.",
-                    "items": {
-                        "$ref": "WebImage"
-                    },
-                    "type": "array"
-                },
                 "fullMatchingImages": {
                     "description": "Fully matching images from the Internet.\nCan include resized copies of the query image.",
                     "items": {
                         "$ref": "WebImage"
                     },
                     "type": "array"
                 },
                 "webEntities": {
                     "description": "Deduced entities from similar images on the Internet.",
                     "items": {
                         "$ref": "WebEntity"
                     },
                     "type": "array"
                 },
                 "pagesWithMatchingImages": {
                     "description": "Web pages containing the matching images from the Internet.",
                     "items": {
                         "$ref": "WebPage"
                     },
                     "type": "array"
+                },
+                "partialMatchingImages": {
+                    "description": "Partial matching images from the Internet.\nThose images are similar enough to share some key-point features. For\nexample an original image will likely have partial matching for its crops.",
+                    "items": {
+                        "$ref": "WebImage"
+                    },
+                    "type": "array"
+                },
+                "visuallySimilarImages": {
+                    "description": "The visually similar image results.",
+                    "items": {
+                        "$ref": "WebImage"
+                    },
+                    "type": "array"
                 }
             },
             "type": "object"
-        },
-        "BatchAnnotateImagesResponse": {
-            "description": "Response to a batch image annotation request.",
-            "id": "BatchAnnotateImagesResponse",
-            "properties": {
-                "responses": {
-                    "description": "Individual responses to image annotation requests within the batch.",
-                    "items": {
-                        "$ref": "AnnotateImageResponse"
-                    },
-                    "type": "array"
-                }
-            },
-            "type": "object"
-        },
-        "ImageSource": {
-            "description": "External image source (Google Cloud Storage image location).",
-            "id": "ImageSource",
-            "properties": {
-                "gcsImageUri": {
-                    "description": "NOTE: For new code `image_uri` below is preferred.\nGoogle Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.",
-                    "type": "string"
-                },
-                "imageUri": {
-                    "description": "Image URI which supports:\n1) Google Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.\n2) Publicly accessible image HTTP/HTTPS URL.\nThis is preferred over the legacy `gcs_image_uri` above. When both\n`gcs_image_uri` and `image_uri` are specified, `image_uri` takes\nprecedence.",
-                    "type": "string"
-                }
-            },
-            "type": "object"
         },
         "Position": {
             "description": "A 3D position in the image, used primarily for Face detection landmarks.\nA valid Position must have both x and y coordinates.\nThe position coordinates are in the same scale as the original image.",
             "id": "Position",
             "properties": {
+                "y": {
+                    "description": "Y coordinate.",
+                    "format": "float",
+                    "type": "number"
+                },
                 "x": {
                     "description": "X coordinate.",
                     "format": "float",
                     "type": "number"
                 },
                 "z": {
                     "description": "Z coordinate (or depth).",
                     "format": "float",
                     "type": "number"
-                },
-                "y": {
-                    "description": "Y coordinate.",
-                    "format": "float",
-                    "type": "number"
                 }
             },
             "type": "object"
         },
         "ColorInfo": {
             "description": "Color information consists of RGB channels, score, and the fraction of\nthe image that the color occupies in the image.",
             "id": "ColorInfo",
             "properties": {
                 "pixelFraction": {
                     "description": "The fraction of pixels the color occupies in the image.\nValue in range [0, 1].",
                     "format": "float",
                     "type": "number"
                 },
                 "color": {
                     "$ref": "Color",
                     "description": "RGB components of the color."
                 },
                 "score": {
                     "description": "Image-specific score for this color. Value in range [0, 1].",
                     "format": "float",
                     "type": "number"
                 }
             },
             "type": "object"
         },
         "WebPage": {
             "description": "Metadata for web pages.",
             "id": "WebPage",
             "properties": {
+                "url": {
+                    "description": "The result web page URL.",
+                    "type": "string"
+                },
                 "score": {
                     "description": "Overall relevancy score for the web page.\nNot normalized and not comparable across different image queries.",
                     "format": "float",
                     "type": "number"
-                },
-                "url": {
-                    "description": "The result web page URL.",
-                    "type": "string"
                 }
             },
             "type": "object"
         },
         "EntityAnnotation": {
             "description": "Set of detected entity features.",
             "id": "EntityAnnotation",
             "properties": {
-                "properties": {
-                    "description": "Some entities may have optional user-supplied `Property` (name/value)\nfields, such a score or string that qualifies the entity.",
-                    "items": {
-                        "$ref": "Property"
-                    },
-                    "type": "array"
-                },
                 "score": {
                     "description": "Overall score of the result. Range [0, 1].",
                     "format": "float",
                     "type": "number"
                 },
                 "locations": {
                     "description": "The location information for the detected entity. Multiple\n`LocationInfo` elements can be present because one location may\nindicate the location of the scene in the image, and another location\nmay indicate the location of the place where the image was taken.\nLocation information is usually present for landmarks.",
                     "items": {
                         "$ref": "LocationInfo"
                     },
                     "type": "array"
                 },
                 "mid": {
                     "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).",
                     "type": "string"
                 },
                 "confidence": {
                     "description": "The accuracy of the entity detection in an image.\nFor example, for an image in which the \"Eiffel Tower\" entity is detected,\nthis field represents the confidence that there is a tower in the query\nimage. Range [0, 1].",
                     "format": "float",
                     "type": "number"
                 },
                 "locale": {
                     "description": "The language code for the locale in which the entity textual\n`description` is expressed.",
                     "type": "string"
                 },
                 "boundingPoly": {
                     "$ref": "BoundingPoly",
-                    "description": "Image region to which this entity belongs. Currently not produced\nfor `LABEL_DETECTION` features. For `TEXT_DETECTION` (OCR), `boundingPoly`s\nare produced for the entire text detected in an image region, followed by\n`boundingPoly`s for each word within the detected text."
+                    "description": "Image region to which this entity belongs. Not produced\nfor `LABEL_DETECTION` features."
                 },
                 "description": {
                     "description": "Entity textual description, expressed in its `locale` language.",
                     "type": "string"
                 },
                 "topicality": {
                     "description": "The relevancy of the ICA (Image Content Annotation) label to the\nimage. For example, the relevancy of \"tower\" is likely higher to an image\ncontaining the detected \"Eiffel Tower\" than to an image containing a\ndetected distant towering building, even though the confidence that\nthere is a tower in each image may be the same. Range [0, 1].",
                     "format": "float",
                     "type": "number"
+                },
+                "properties": {
+                    "description": "Some entities may have optional user-supplied `Property` (name/value)\nfields, such a score or string that qualifies the entity.",
+                    "items": {
+                        "$ref": "Property"
+                    },
+                    "type": "array"
                 }
             },
             "type": "object"
         },
         "CropHint": {
             "description": "Single crop hint that is used to generate a new crop when serving an image.",
             "id": "CropHint",
             "properties": {
                 "confidence": {
                     "description": "Confidence of this being a salient region.  Range [0, 1].",
@@ skipping 114 matching lines @@
                     "description": "The result image URL.",
                     "type": "string"
                 }
             },
             "type": "object"
         },
         "Word": {
             "description": "A word representation.",
             "id": "Word",
             "properties": {
-                "property": {
-                    "$ref": "TextProperty",
-                    "description": "Additional information detected for the word."
-                },
                 "boundingBox": {
                     "$ref": "BoundingPoly",
                     "description": "The bounding box for the word.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n  * when the text is horizontal it might look like:\n     0----1\n     |    |\n     3----2\n  * when it's rotated 180 degrees around the top-left corner it becomes:\n     2----3\n     |    |\n     1----0\n  and the vertice order will still be (0, 1, 2, 3)."
                 },
                 "symbols": {
                     "description": "List of symbols in the word.\nThe order of the symbols follows the natural reading order.",
                     "items": {
                         "$ref": "Symbol"
                     },
                     "type": "array"
+                },
+                "property": {
+                    "$ref": "TextProperty",
+                    "description": "Additional information detected for the word."
                 }
             },
             "type": "object"
         },
         "Paragraph": {
             "description": "Structural unit of text representing a number of words in certain order.",
             "id": "Paragraph",
             "properties": {
                 "property": {
                     "$ref": "TextProperty",
@@ skipping 26 matching lines @@
                     "$ref": "ImageSource",
                     "description": "Google Cloud Storage image location. If both `content` and `source`\nare provided for an image, `content` takes precedence and is\nused to perform the image annotation request."
                 }
             },
             "type": "object"
         },
         "FaceAnnotation": {
             "description": "A face annotation object contains the results of face detection.",
             "id": "FaceAnnotation",
             "properties": {
-                "angerLikelihood": {
-                    "description": "Anger likelihood.",
+                "underExposedLikelihood": {
+                    "description": "Under-exposed likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "landmarks": {
-                    "description": "Detected face landmarks.",
-                    "items": {
-                        "$ref": "Landmark"
-                    },
-                    "type": "array"
+                "panAngle": {
+                    "description": "Yaw angle, which indicates the leftward/rightward angle that the face is\npointing relative to the vertical plane perpendicular to the image. Range\n[-180,180].",
+                    "format": "float",
+                    "type": "number"
                 },
-                "surpriseLikelihood": {
-                    "description": "Surprise likelihood.",
+                "detectionConfidence": {
+                    "description": "Detection confidence. Range [0, 1].",
+                    "format": "float",
+                    "type": "number"
+                },
+                "blurredLikelihood": {
+                    "description": "Blurred likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "joyLikelihood": {
-                    "description": "Joy likelihood.",
+                "headwearLikelihood": {
+                    "description": "Headwear likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "landmarkingConfidence": {
-                    "description": "Face landmarking confidence. Range [0, 1].",
+                "boundingPoly": {
+                    "$ref": "BoundingPoly",
+                    "description": "The bounding polygon around the face. The coordinates of the bounding box\nare in the original image's scale, as returned in `ImageParams`.\nThe bounding box is computed to \"frame\" the face in accordance with human\nexpectations. It is based on the landmarker results.\nNote that one or more x and/or y coordinates may not be generated in the\n`BoundingPoly` (the polygon will be unbounded) if only a partial face\nappears in the image to be annotated."
+                },
+                "rollAngle": {
+                    "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation\nof the face relative to the image vertical about the axis perpendicular to\nthe face. Range [-180,180].",
                     "format": "float",
                     "type": "number"
                 },
-                "detectionConfidence": {
-                    "description": "Detection confidence. Range [0, 1].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "panAngle": {
-                    "description": "Yaw angle, which indicates the leftward/rightward angle that the face is\npointing relative to the vertical plane perpendicular to the image. Range\n[-180,180].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "underExposedLikelihood": {
-                    "description": "Under-exposed likelihood.",
+                "sorrowLikelihood": {
+                    "description": "Sorrow likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "blurredLikelihood": {
-                    "description": "Blurred likelihood.",
+                "tiltAngle": {
+                    "description": "Pitch angle, which indicates the upwards/downwards angle that the face is\npointing relative to the image's horizontal plane. Range [-180,180].",
+                    "format": "float",
+                    "type": "number"
+                },
+                "fdBoundingPoly": {
+                    "$ref": "BoundingPoly",
+                    "description": "The `fd_bounding_poly` bounding polygon is tighter than the\n`boundingPoly`, and encloses only the skin part of the face. Typically, it\nis used to eliminate the face from any image analysis that detects the\n\"amount of skin\" visible in an image. It is not based on the\nlandmarker results, only on the initial face detection, hence\nthe <code>fd</code> (face detection) prefix."
+                },
+                "angerLikelihood": {
+                    "description": "Anger likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "headwearLikelihood": {
-                    "description": "Headwear likelihood.",
+                "landmarks": {
+                    "description": "Detected face landmarks.",
+                    "items": {
+                        "$ref": "Landmark"
+                    },
+                    "type": "array"
+                },
+                "surpriseLikelihood": {
+                    "description": "Surprise likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "boundingPoly": {
-                    "$ref": "BoundingPoly",
-                    "description": "The bounding polygon around the face. The coordinates of the bounding box\nare in the original image's scale, as returned in `ImageParams`.\nThe bounding box is computed to \"frame\" the face in accordance with human\nexpectations. It is based on the landmarker results.\nNote that one or more x and/or y coordinates may not be generated in the\n`BoundingPoly` (the polygon will be unbounded) if only a partial face\nappears in the image to be annotated."
-                },
-                "rollAngle": {
-                    "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation\nof the face relative to the image vertical about the axis perpendicular to\nthe face. Range [-180,180].",
-                    "format": "float",
-                    "type": "number"
-                },
-                "sorrowLikelihood": {
-                    "description": "Sorrow likelihood.",
+                "joyLikelihood": {
+                    "description": "Joy likelihood.",
                     "enum": [
                         "UNKNOWN",
                         "VERY_UNLIKELY",
                         "UNLIKELY",
                         "POSSIBLE",
                         "LIKELY",
                         "VERY_LIKELY"
                     ],
                     "enumDescriptions": [
                         "Unknown likelihood.",
                         "It is very unlikely that the image belongs to the specified vertical.",
                         "It is unlikely that the image belongs to the specified vertical.",
                         "It is possible that the image belongs to the specified vertical.",
                         "It is likely that the image belongs to the specified vertical.",
                         "It is very likely that the image belongs to the specified vertical."
                     ],
                     "type": "string"
                 },
-                "tiltAngle": {
-                    "description": "Pitch angle, which indicates the upwards/downwards angle that the face is\npointing relative to the image's horizontal plane. Range [-180,180].",
+                "landmarkingConfidence": {
+                    "description": "Face landmarking confidence. Range [0, 1].",
                     "format": "float",
                     "type": "number"
-                },
-                "fdBoundingPoly": {
-                    "$ref": "BoundingPoly",
-                    "description": "The `fd_bounding_poly` bounding polygon is tighter than the\n`boundingPoly`, and encloses only the skin part of the face. Typically, it\nis used to eliminate the face from any image analysis that detects the\n\"amount of skin\" visible in an image. It is not based on the\nlandmarker results, only on the initial face detection, hence\nthe <code>fd</code> (face detection) prefix."
                 }
             },
             "type": "object"
         },
         "BatchAnnotateImagesRequest": {
             "description": "Multiple image annotation requests are batched into a single service call.",
             "id": "BatchAnnotateImagesRequest",
             "properties": {
                 "requests": {
                     "description": "Individual image annotation requests for this batch.",
@@ skipping 33 matching lines @@
                     ],
                     "type": "string"
                 }
             },
             "type": "object"
         },
         "ImageContext": {
             "description": "Image context and/or feature-specific parameters.",
             "id": "ImageContext",
             "properties": {
-                "languageHints": {
-                    "description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value\nyields the best results since it enables automatic language detection. For\nlanguages based on the Latin alphabet, setting `language_hints` is not\nneeded. In rare cases, when the language of the text in the image is known,\nsetting a hint will help get better results (although it will be a\nsignificant hindrance if the hint is wrong). Text detection returns an\nerror if one or more of the specified languages is not one of the\n[supported languages](/vision/docs/languages).",
-                    "items": {
-                        "type": "string"
-                    },
-                    "type": "array"
-                },
                 "latLongRect": {
                     "$ref": "LatLongRect",
                     "description": "lat/long rectangle that specifies the location of the image."
                 },
                 "cropHintsParams": {
                     "$ref": "CropHintsParams",
                     "description": "Parameters for crop hints annotation request."
+                },
+                "languageHints": {
+                    "description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value\nyields the best results since it enables automatic language detection. For\nlanguages based on the Latin alphabet, setting `language_hints` is not\nneeded. In rare cases, when the language of the text in the image is known,\nsetting a hint will help get better results (although it will be a\nsignificant hindrance if the hint is wrong). Text detection returns an\nerror if one or more of the specified languages is not one of the\n[supported languages](/vision/docs/languages).",
+                    "items": {
+                        "type": "string"
+                    },
+                    "type": "array"
                 }
             },
             "type": "object"
         },
         "Page": {
             "description": "Detected page from OCR.",
             "id": "Page",
             "properties": {
+                "property": {
+                    "$ref": "TextProperty",
+                    "description": "Additional information detected on the page."
+                },
                 "height": {
                     "description": "Page height in pixels.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "width": {
                     "description": "Page width in pixels.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "blocks": {
                     "description": "List of blocks of text, images etc on this page.",
                     "items": {
                         "$ref": "Block"
                     },
                     "type": "array"
-                },
-                "property": {
-                    "$ref": "TextProperty",
-                    "description": "Additional information detected on the page."
                 }
             },
             "type": "object"
         },
         "AnnotateImageRequest": {
             "description": "Request for performing Google Cloud Vision API tasks over a user-provided\nimage, with user-requested features.",
             "id": "AnnotateImageRequest",
             "properties": {
                 "imageContext": {
                     "$ref": "ImageContext",
@@ skipping 37 matching lines @@
                     "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.",
                     "type": "string"
                 }
             },
             "type": "object"
         },
         "LatLongRect": {
             "description": "Rectangle determined by min and max `LatLng` pairs.",
             "id": "LatLongRect",
             "properties": {
+                "maxLatLng": {
+                    "$ref": "LatLng",
+                    "description": "Max lat/long pair."
+                },
                 "minLatLng": {
                     "$ref": "LatLng",
                     "description": "Min lat/long pair."
-                },
-                "maxLatLng": {
-                    "$ref": "LatLng",
-                    "description": "Max lat/long pair."
                 }
             },
             "type": "object"
         },
         "Symbol": {
             "description": "A single symbol representation.",
             "id": "Symbol",
             "properties": {
                 "text": {
                     "description": "The actual UTF-8 representation of the symbol.",
                     "type": "string"
                 },
                 "property": {
                     "$ref": "TextProperty",
                     "description": "Additional information detected for the symbol."
                 },
                 "boundingBox": {
                     "$ref": "BoundingPoly",
                     "description": "The bounding box for the symbol.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n  * when the text is horizontal it might look like:\n     0----1\n     |    |\n     3----2\n  * when it's rotated 180 degrees around the top-left corner it becomes:\n     2----3\n     |    |\n     1----0\n  and the vertice order will still be (0, 1, 2, 3)."
                 }
             },
             "type": "object"
+        },
+        "CropHintsAnnotation": {
+            "description": "Set of crop hints that are used to generate new crops when serving images.",
+            "id": "CropHintsAnnotation",
+            "properties": {
+                "cropHints": {
+                    "description": "Crop hint results.",
+                    "items": {
+                        "$ref": "CropHint"
+                    },
+                    "type": "array"
+                }
+            },
+            "type": "object"
+        },
+        "LatLng": {
+            "description": "An object representing a latitude/longitude pair. This is expressed as a pair\nof doubles representing degrees latitude and degrees longitude. Unless\nspecified otherwise, this must conform to the\n<a href=\"http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf\">WGS84\nstandard</a>. Values must be within normalized ranges.\n\nExample of normalization code in Python:\n\n    def NormalizeLongitude(longitude):\n      \"\"\"Wraps decimal degrees longitude to [-180.0, 180.0].\"\"\"\n      q, r = divmod(longitude, 360.0)\n      if r > 180.0 or (r == 180.0 and q <= -1.0):\n        return r - 360.0\n      return r\n\n    def NormalizeLatLng(latitude, longitude):\n      \"\"\"Wraps decimal degrees latitude and longitude to\n      [-90.0, 90.0] and [-180.0, 180.0], respectively.\"\"\"\n      r = latitude % 360.0\n      if r <= 90.0:\n        return r, NormalizeLongitude(longitude)\n      elif r >= 270.0:\n        return r - 360, NormalizeLongitude(longitude)\n      else:\n        return 180 - r, NormalizeLongitude(longitude + 180.0)\n\n    assert 180.0 == NormalizeLongitude(180.0)\n    assert -180.0 == NormalizeLongitude(-180.0)\n    assert -179.0 == NormalizeLongitude(181.0)\n    assert (0.0, 0.0) == NormalizeLatLng(360.0, 0.0)\n    assert (0.0, 0.0) == NormalizeLatLng(-360.0, 0.0)\n    assert (85.0, 180.0) == NormalizeLatLng(95.0, 0.0)\n    assert (-85.0, -170.0) == NormalizeLatLng(-95.0, 10.0)\n    assert (90.0, 10.0) == NormalizeLatLng(90.0, 10.0)\n    assert (-90.0, -10.0) == NormalizeLatLng(-90.0, -10.0)\n    assert (0.0, -170.0) == NormalizeLatLng(-180.0, 10.0)\n    assert (0.0, -170.0) == NormalizeLatLng(180.0, 10.0)\n    assert (-90.0, 10.0) == NormalizeLatLng(270.0, 10.0)\n    assert (90.0, 10.0) == NormalizeLatLng(-270.0, 10.0)",
+            "id": "LatLng",
+            "properties": {
+                "latitude": {
+                    "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].",
+                    "format": "double",
+                    "type": "number"
+                },
+                "longitude": {
+                    "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].",
+                    "format": "double",
+                    "type": "number"
+                }
+            },
+            "type": "object"
+        },
+        "Color": {
+            "description": "Represents a color in the RGBA color space. This representation is designed\nfor simplicity of conversion to/from color representations in various\nlanguages over compactness; for example, the fields of this representation\ncan be trivially provided to the constructor of \"java.awt.Color\" in Java; it\ncan also be trivially provided to UIColor's \"+colorWithRed:green:blue:alpha\"\nmethod in iOS; and, with just a little work, it can be easily formatted into\na CSS \"rgba()\" string in JavaScript, as well. Here are some examples:\n\nExample (Java):\n\n     import com.google.type.Color;\n\n     // ...\n     public static java.awt.Color fromProto(Color protocolor) {\n       float alpha = protocolor.hasAlpha()\n           ? protocolor.getAlpha().getValue()\n           : 1.0;\n\n       return new java.awt.Color(\n           protocolor.getRed(),\n           protocolor.getGreen(),\n           protocolor.getBlue(),\n           alpha);\n     }\n\n     public static Color toProto(java.awt.Color color) {\n       float red = (float) color.getRed();\n       float green = (float) color.getGreen();\n       float blue = (float) color.getBlue();\n       float denominator = 255.0;\n       Color.Builder resultBuilder =\n           Color\n               .newBuilder()\n               .setRed(red / denominator)\n               .setGreen(green / denominator)\n               .setBlue(blue / denominator);\n       int alpha = color.getAlpha();\n       if (alpha != 255) {\n         result.setAlpha(\n             FloatValue\n                 .newBuilder()\n                 .setValue(((float) alpha) / denominator)\n                 .build());\n       }\n       return resultBuilder.build();\n     }\n     // ...\n\nExample (iOS / Obj-C):\n\n     // ...\n     static UIColor* fromProto(Color* protocolor) {\n        float red = [protocolor red];\n        float green = [protocolor green];\n        float blue = [protocolor blue];\n        FloatValue* alpha_wrapper = [protocolor alpha];\n        float alpha = 1.0;\n        if (alpha_wrapper != nil) {\n          alpha = [alpha_wrapper value];\n        }\n        return [UIColor colorWithRed:red green:green blue:blue alpha:alpha];\n     }\n\n     static Color* toProto(UIColor* color) {\n         CGFloat red, green, blue, alpha;\n         if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) {\n           return nil;\n         }\n         Color* result = [Color alloc] init];\n         [result setRed:red];\n         [result setGreen:green];\n         [result setBlue:blue];\n         if (alpha <= 0.9999) {\n           [result setAlpha:floatWrapperWithValue(alpha)];\n         }\n         [result autorelease];\n         return result;\n    }\n    // ...\n\n Example (JavaScript):\n\n    // ...\n\n    var protoToCssColor = function(rgb_color) {\n       var redFrac = rgb_color.red || 0.0;\n       var greenFrac = rgb_color.green || 0.0;\n       var blueFrac = rgb_color.blue || 0.0;\n       var red = Math.floor(redFrac * 255);\n       var green = Math.floor(greenFrac * 255);\n       var blue = Math.floor(blueFrac * 255);\n\n       if (!('alpha' in rgb_color)) {\n          return rgbToCssColor_(red, green, blue);\n       }\n\n       var alphaFrac = rgb_color.alpha.value || 0.0;\n       var rgbParams = [red, green, blue].join(',');\n       return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');\n    };\n\n    var rgbToCssColor_ = function(red, green, blue) {\n      var rgbNumber = new Number((red << 16) | (green << 8) | blue);\n      var hexString = rgbNumber.toString(16);\n      var missingZeros = 6 - hexString.length;\n      var resultBuilder = ['#'];\n      for (var i = 0; i < missingZeros; i++) {\n         resultBuilder.push('0');\n      }\n      resultBuilder.push(hexString);\n      return resultBuilder.join('');\n    };\n\n    // ...",
+            "id": "Color",
+            "properties": {
+                "red": {
+                    "description": "The amount of red in the color as a value in the interval [0, 1].",
+                    "format": "float",
+                    "type": "number"
+                },
+                "green": {
+                    "description": "The amount of green in the color as a value in the interval [0, 1].",
+                    "format": "float",
+                    "type": "number"
+                },
+                "blue": {
+                    "description": "The amount of blue in the color as a value in the interval [0, 1].",
+                    "format": "float",
+                    "type": "number"
+                },
+                "alpha": {
+                    "description": "The fraction of this color that should be applied to the pixel. That is,\nthe final pixel color is defined by the equation:\n\n  pixel color = alpha * (this color) + (1.0 - alpha) * (background color)\n\nThis means that a value of 1.0 corresponds to a solid color, whereas\na value of 0.0 corresponds to a completely transparent color. This\nuses a wrapper message rather than a simple float scalar so that it is\npossible to distinguish between a default value and the value being unset.\nIf omitted, this color object is to be rendered as a solid color\n(as if the alpha value had been explicitly given with a value of 1.0).",
+                    "format": "float",
+                    "type": "number"
+                }
+            },
+            "type": "object"
+        },
+        "Feature": {
+            "description": "Users describe the type of Google Cloud Vision API tasks to perform over\nimages by using *Feature*s. Each Feature indicates a type of image\ndetection task to perform. Features encode the Cloud Vision API\nvertical to operate on and the number of top-scoring results to return.",
+            "id": "Feature",
+            "properties": {
+                "type": {
+                    "description": "The feature type.",
+                    "enum": [
+                        "TYPE_UNSPECIFIED",
+                        "FACE_DETECTION",
+                        "LANDMARK_DETECTION",
+                        "LOGO_DETECTION",
+                        "LABEL_DETECTION",
+                        "TEXT_DETECTION",
+                        "DOCUMENT_TEXT_DETECTION",
+                        "SAFE_SEARCH_DETECTION",
+                        "IMAGE_PROPERTIES",
+                        "CROP_HINTS",
+                        "WEB_DETECTION"
+                    ],
+                    "enumDescriptions": [
+                        "Unspecified feature type.",
+                        "Run face detection.",
+                        "Run landmark detection.",
+                        "Run logo detection.",
+                        "Run label detection.",
+                        "Run OCR.",
+                        "Run dense text document OCR. Takes precedence when both\nDOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.",
+                        "Run computer vision models to compute image safe-search properties.",
+                        "Compute a set of image properties, such as the image's dominant colors.",
+                        "Run crop hints.",
+                        "Run web detection."
+                    ],
+                    "type": "string"
+                },
+                "maxResults": {
+                    "description": "Maximum number of results of this type.",
+                    "format": "int32",
+                    "type": "integer"
+                }
+            },
+            "type": "object"
+        },
+        "ImageProperties": {
+            "description": "Stores image properties, such as dominant colors.",
+            "id": "ImageProperties",
+            "properties": {
+                "dominantColors": {
+                    "$ref": "DominantColorsAnnotation",
+                    "description": "If present, dominant colors completed successfully."
+                }
+            },
+            "type": "object"
         }
     },
     "servicePath": "",
     "title": "Google Cloud Vision API",
     "version": "v1"
 }