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# Object Detection

Object Detection finds objects that belong to pre-defined classes, when they appear in media. For example, if you are processing video captured by a CCTV camera, you could train Media Server to return the locations of pedestrians, cyclists, and cars that appear in the video.

Configuration Parameter | Description
--- | ---
DetectionThreshold | The minimum confidence score necessary for Media Server to output an object detection result.
Detector | The detector to use for object detection.
Input | The track to analyze.
NumParallel | The maximum number of video frames to analyze simultaneously.
Region | The region of the frame to restrict processing to.
RegionUnit | The units to use when setting the Region parameter.
RestrictToInputRegion | Specifies whether to analyze a region of the input image or video frame that is specified in the input record, instead of the entire image.
SampleInterval | The interval at which frames are selected to be analyzed.
SyncDatabase | Specifies whether to synchronize with the training database before starting analysis.
Type | The analysis engine to use. Set this parameter to `ObjectDetection`.

## Output Tracks

Output track | Description
--- | ---
`Result` | Media Server adds a record to this track for each object that is detected.
`ResultWithSource` | Records in this track contain the same data as those in the `Result` track, but also include the source image or video frame.

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