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# AddFaceImages

Adds training images to a face.

Type: synchronous

Parameter | Description | Required
--- | --- | ---
`database` | The name of the database that contains the face. | Yes
`identifier` | The identifier of the face that you want to add training images to. | Yes
`imagedata` | The training images to add. Files must be uploaded as multipart/form-data. For more information about sending data to Media Server, refer to the Media Server Administration Guide. | Set this or `imagepath`
`imagelabels` | A comma-separated list of labels to identify the images that you are adding (maximum 254 bytes for each label). Every image added to the same face must have a unique label, so the number of labels must match the number of images provided using either `imagedata` or `imagepath`. If you do not set this parameter, Media Server generates labels automatically. | No
`imagepath` | A comma-separated list of paths to the training images to add. The paths must be absolute, or relative to the Media Server executable file. | Set this or `imagedata`

## Example

The following example adds training images to a face by specifying the paths of the images using the `imagepath` parameter:

    /action=AddFaceImages&database=politicians
                         &identifier=6600dc0f9dd72d0cb55589e8f1d28b62
                         &imagepath=face1.jpg,face2.jpg
                         &imagelabels=expression_smiling,expression_neutral

Alternatively, you can add training images by sending the image data, for example:

    curl http://localhost:14000 -F action=AddFaceImages
                                -F database=politicians
                                -F identifier=6600dc0f9dd72d0cb55589e8f1d28b62
                                -F imagedata=@face1.jpg,face2.jpg
                                -F imagelabels=expression_smiling,expression_neutral

## Response

The response returns the labels assigned to the training images:

    <autnresponse>
      <action>ADDFACEIMAGES</action>
      <response>SUCCESS</response>
      <responsedata>
        <images>
          <image>
            <index>1</index>
            <label>expression_smiling</label>
          </image>
          <image>
            <index>2</index>
            <label>expression_neutral</label>
          </image>
        </images>
      </responsedata>
    </autnresponse>

## See Also

After adding training images for a face, you can train Media Server to recognize the face by running the action BuildFace.

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