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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 | Output1This column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the Input parameter for the output task).
--- | --- | ---
`Data` | Contains one record, describing the analysis results, per detected object, per video frame. | No
`DataWithSource` | The same as the `Data` track, but each record also includes the source frame. | No
`Event` | Media Server creates a record in the `Event` track when an object appears or disappears. | Yes
`Result` | Contains one record, describing the analysis results, for each detected object. When the same object appears in many consecutive frames, Media Server produces a single result. | Yes
`ResultWithSource` | The same as the `Result` track, but each record also includes the best source frame. | No

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