Latest news: 29.Apr. perClass for Raspberry Pi

perClass is a software package accelerating development of accurate machine learning solutions in applications such as cancer detection or industrial sorting.

Top 10 reasons why to use it.

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With perClass you can:

Design classifiers in Matlab
  • Visualize and understand your data with interactive tools
  • Easily train and evaluate robust classifiers
  • Optimize classifier performance (two- and multi-class ROC Analysis)
Embed classifiers in your applications
  • Execute real-time classifiers outside Matlab
  • Dramatically shorten development time
  • No compilation needed to change running classifiers

perClass is used by

  • Industrial researchers developing products for medical diagnostics, object sorting or surveillance. See examples.
  • Academic researchers working on computer vision and pattern recognition problems.

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