Completed:

  • Trained with 60000 images
  • Balanced out images of each emotion
  • Confusion matrix
  • Accuracy of around 60-70 percent
    • 7000 images – got around 80-90 percent but could be overfit
  • Tested on my own face – contempt, anger, disgust, fear are confused

Todo:

  • Make second SVM for classifying hard to differentiate emotions
  • Continue to up accuracy
  • Train with more images
  • Cross-validation?

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