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Current version: 5.2 (9-Jan-2018)

Release highlights:

  • Interactive confusion matrix.
  • SVM support for C-weighting
  • RBF neural network significantly faster in training
Detailed release notes

Get answers

Get inspired

  • Train deep nets on your images.
    Deep Learning Tutorial
  • Outlier removal built in a classifier.
    Classifier removing outliers
  • Execution of real-time classifiers outside Matlab
    Out-of-Matlab execution
  • Object detection
    Object detection
  • Quick image labeling
    Quick image labeling
  • Interactive scatter
    Interactive scatter
  • Local image features
    Local image features
  • Detectors explained
    Detectors explained
  • Find rare samples
    Find rare samples
  • Labels by clustering
    Labels by clustering
  • Cross-validation example
    Cross-validation example
  • Classifier tuning
    Classifier tuning
  • Texture classification
    Texture classification
  • Why to use meta-data?
    Why to use meta-data?
  • Hand-drawn classifiers
    Hand-drawn classifiers
  • Feature distributions
    Feature distributions
  • Training on multiple images
    Training on multiple images
  • Run classifiers in Excel
    Run classifiers in Excel

Get informed

Latest newsletter:

Newsletter June 2017

perClass at vision and robotics trade fair in Veldhoven
  • Announcement: Machine Learning course: 26-30 June 2017
  • Exhibitions: Visit us at Vision Robotics & Motion, 14-15 June
  • Announcement: perClass new release
  • From the blog: Spring perClass course was fully booked again

See all newsletters