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# Pre-Trained Object Class Recognizers

Micro Focus may provide pre-trained recognizers that you can use with Media Server to recognize objects belonging to generic categories in images and videos.

The following recognizers are currently available from the Big Data Download Center, in the package `PretrainedModels_MediaServer_<VERSION>.zip`. When you download this package, ensure that `<VERSION>` matches the version of Media Server that you are using.

File name | Description
--- | ---
`ObjectDetector_CommonObjects.dat` | Recognizes common objects. This recognizer contains twenty classes across four categories: (Person) person (Animal) bird, cat, cow, dog, horse, sheep (Vehicle) aeroplane, bicycle, boat, bus, car, motorbike, train (Indoor) bottle, chair, dining table, potted plant, sofa, tv/monitor
`ObjectDetector_HeadAndShoulder.dat` | Recognizes people, in order to count them. This recognizer differs from `ObjectDetector_Person.dat` because it has been trained to detect only the head and shoulder region, which is useful when you want to count people in a crowded area.
`ObjectDetector_Person.dat` | Recognizes people.
`ObjectDetector_RoadScene.dat` | Recognizes cars, vans and people in images and videos.

For information about how to import a recognizer into your training database, see Import a Recognizer.

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