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# 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>168</x>
            <y>172</y>
          </point>
          <point>
            <x>473</x>
            <y>172</y>
          </point>
          <point>
            <x>473</x>
            <y>280</y>
          </point>
          <point>
            <x>168</x>
            <y>280</y>
          </point>
        </grillepatch>
        <identity>
          <identifier>FocusRS</identifier>
          <database>Cars</database>
          <imagelabel>image1</imagelabel>
          <confidence>77</confidence>
          <metadata>
            <item>
              <key>type</key>
              <value>hatchback</value>
            </item>
          </metadata>
        </identity>
        <grillepercentage>100</grillepercentage>
        <vehiclemake>Ford</vehiclemake>
        <vehiclemakescore>100</vehiclemakescore>
      </VehicleModelResult>
    </record>

The record contains the following information:

- The `id` element provides 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.
- The `grillepatch` element describes the region of the input image that was used for recognizing the vehicle make and model.

- The `identity` element represents a match between the ingested media and a vehicle model in your training database. This element is present only when you train HPE Media Server to recognize vehicle models, you set the `Database` parameter when you configure the task, and when a match is found.

  - The `identifier` element provides the identifier of the vehicle model that was detected in the ingested media.
  - The `database` element provides the name of the database in which the vehicle model exists.
  - The `imagelabel` element provides the label of the image that was the best match to the analyzed media (many training images can be associated with a single vehicle model in the database).
  - The `confidence` element provides the confidence score for the match (from 0 to 100, where 100 is maximum confidence).
  - The `metadata` element provides metadata that you associated with the vehicle model when you trained HPE Media Server. If there is no metadata in the training database, this element is omitted.
- The `vehiclemake` element provides the identified vehicle make.
- The `vehiclemakescore` element provides a confidence score for vehicle make recognition, from 0 to 100, where 100 indicates maximum confidence.

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