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# Crop Transformation Engine

The crop transformation engine produces cropped images based on region data supplied by analysis tasks. For example, if you run face detection you can use this engine to produce cropped images that show detected faces.

The engine also translates any co-ordinates contained in records, so that their position is correct for the cropped image. For example, face detection outputs the locations of a person's eyes. The co-ordinates are modified so that the positions are correct for the cropped image.

This section describes the parameters that you can use to configure cropping.

Configuration Parameter | Description
--- | ---
Border | The amount of padding to add to the supplied region, before cropping the image.
BorderUnit | The units to use for specifying the value of the Border configuration parameter.
Input | The name of the track that contains the images to crop, with region data.
Type | The type of transformation engine to use. Set this parameter to `crop`.

This transformation engine produces a single output track, named `taskName.Output`, where `taskName` is the name of the transformation task.

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