Train Media Server to Classify Images

To classify images, you must train Media Server by providing images that are representative of your chosen classes.

The following diagram shows how Media Server stores information you provide during training.

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

When you run image classification, Media Server classifies your images into the classes in your chosen classifier. For example, to classify vehicles into "cars", "trucks", "motorcycles", and so on, you would create a classifier named "vehicles" and create classes named "car", "truck", and "motorcycle".

A classifier must contain at least two classes. To determine whether an image contains a car or doesn't contain a car, you would need to train a "car" class and also a "not car" class.

To each class you must add training images. Usually around 100 training images per class is sufficient to obtain good performance. For information about choosing suitable training images, see Training Requirements.