Vehicle Make and Model Recognition Results

The following XML shows a single record produced by vehicle make and model recognition.

<record>
    ...
    <trackname>VehicleMakeModel.Result</trackname>
    <VehicleModelResult>
        <id>e2fb50f1-a71a-46e0-8af6-c5e7e5ba3afc</id>
        <grillepatch>
            <point>
                <x>379</x>
                <y>680</y>
            </point>
            <point>
                <x>739</x>
                <y>680</y>
            </point>
            <point>
                <x>739</x>
                <y>784</y>
            </point>
            <point>
                <x>379</x>
                <y>784</y>
            </point>
        </grillepatch>
        <identity>
            <identifier>FocusRS</identifier>
            <database>Cars</database>
            <confidence>77</confidence>
            <metadata>
                <item>
                    <key>type</key>
                    <value>hatchback</value>
                </item>
            </metadata>
        </identity>
        <grillepercentage>100</grillepercentage>
        <vehiclemake>Ford</vehiclemake>
        <vehiclemakescore>100</vehiclemakescore>
        <region>
            <left>296</left>
            <top>496</top>
            <width>501</width>
            <height>416</height>
        </region>
        <regionscore>100</regionscore>
        <vehicletype>car</vehicletype>
        <vehicletypescore>98</vehicletypescore>
    </VehicleModelResult>
</record>

The record contains the following information:

  • id - a unique identifier for the recognized number plate. The number plate recognition engine issues an ID for each detected appearance of a number plate, and the records output from the vehicle make/model recognition engine use the same IDs as the input records.
  • grillepatch - the region of the input image that was used for recognizing the vehicle make and model.
  • identity - represents a match between the ingested media and a vehicle model in your training database. This element contains data only if you train Media Server to recognize vehicle models, you set the Database parameter when you configure the task, and a match is found. The following information is available:

    • identifier - the identifier of the recognized vehicle model.
    • database - the name of the database in which the vehicle model exists.
    • confidence - the confidence score for the match (from 0 to 100, where 100 is maximum confidence).
    • metadata - the metadata that you associated with the vehicle model when you trained Media Server. If there is no metadata in the training database, this element is omitted.
  • grillepercentage - the percentage of the vehicle grille that was visible in the source image.
  • vehiclemake - the recognized vehicle make.
  • vehiclemakescore - the confidence score for vehicle make recognition, from 0 to 100, where 100 indicates maximum confidence.
  • region - a bounding box that contains the entire vehicle.
  • regionscore - the confidence score for the region (from 0 to 100, where 100 is maximum confidence).
  • vehicletype - the vehicle type (bus, car, motorcycle, or truck).
  • vehicletypescore - the confidence score for the vehicle type (from 0 to 100, where 100 is maximum confidence).