# Train Media Server to Recognize Objects

Before using object class recognition, you must either import a recognizer that is provided by Micro Focus, or train your own recognizer. The recognizers provided by Micro Focus are pre-trained, so you do not need to perform any training. For information about the recognizers that are available, see Pre-Trained Object Class Recognizers.

The following diagram shows how Media Server stores information for object class recognition:

The "Media Server database" represents the Media Server datastore file or a database on an external database server. For information on setting up this database, see Set up a Training Database.

The Media Server database can contain any number of recognizers. An object class recognition task uses a single recognizer and finds instances of objects that are described by classes in that recognizer. For example, if you are processing video captured by a CCTV camera, you could use the `RoadScene` recognizer which contains classes for finding people, cars, and vans.

To train object class recognition you add your training images and chosen classes to the recognizer. You then add annotations to the images. An annotation identifies a region of a training image that contains an example object, and the class that the object belongs to. Media Server can then use that region of the image to train the recognizer. You can add multiple annotations to the same image, which is useful if an image contains more than one example object.

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