Media Server 25.2
Media Server Help

# Recognizer Types

Object Class Recognition supports several types of recognizer. All use neural networks but have different characteristics.

The default recognizer is the `Generation1` recognizer. This was the sole type of recognizer in Media Server versions 12.3 and earlier. This type of recognizer is the fastest to train but the other recognizers provide equal or better accuracy and are much faster at run-time. Choose `Generation1` only if you need to train the recognizer on a CPU.

The training time for `Generation2`, `Generation3`, and `Generation4` recognizers is impractical on a CPU, so OpenText recommends that you train the following types of recognizer on a machine with a supported GPU. You can use a trained recognizer with or without a GPU but OpenText recommends using a GPU for best performance. If you run recognition on a GPU, `Generation2`, `Generation3`, and `Generation4` recognizers are all much faster than a `Generation1` recognizer, which allows you to set much shorter sample intervals.

- `Generation2` recognizers offer much better accuracy than a `Generation1` recognizer. `Generation2` recognizers were introduced in Media Server 12.4 and OpenText now recommends using `Generation4` recognizers instead.
- `Generation3` recognizers are the fastest at run-time, but accuracy is slightly lower than a `Generation2` or `Generation4` recognizer.
- `Generation4` recognizers offer the best accuracy, especially for recognizers that you train yourself. The `Generation4` recognizer type was introduced in Media Server 12.9.

Copyright 2025 Open Text
Version 25.2 | Last updated April 2025

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: Knowledge Discovery Media Server 25.2

Topic Title: Recognizer Types