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.