The paired objectType “vehicle,licenseplate” is required. When License Plates are paired with Vehicles, any detected Vehicle thatĭoes not have an associated License Plate will be more closely examined for a missed license plate. This operationĬan be noticeably slower than Vehicle Recogntion alone. The above Vehicle Recognition, but also includes License Plate detection and recognition and pairing with Vehicles. Performs recognition on all of the vehicles and their associated license plates detected in a submitted Image. RequestId (string): A server generated ID for the request vehicleType (string): Vehicle body type (e.g.color (object): List of attributes for the vehicle color (e.g.model (object): List of attributes for the vehicle model (e.g.confidence (float): Confidence that the name field is correct.name (string): The name for the parent field.make (object): List of attributes for the vehicle make (e.g.system (object): System-generated attributes for the detected Object.recognitionConfidence (decimal): A decimal value between 0.0 - 1.0 that represents the confidence that the given objectId is actually the Object recognized in the image.y (integer): Vertical pixel position of the vertex.x (integer): Horizontal pixel position of the vertex.vertices (array): A list of objects that define coordinates of the vertices that surround the Object.vehicleAnnotation (object): A list of objects that contain detection coordinates, confidence scores, and other attributes.objectId (string): Unique identifier of the recognized object.
Objects (array): A list of objects recognized in the image
Defaults to 1 (no rotation or flip), else the value found in the image’s EXIF data and indicates that bounding vertices have been translated to match that coordinate space. Only applicable for photos with EXIF data (e.g., photos taken on a mobile device).
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