Completed:

  • Trained with 10,000 images from AffectNet
  • Accuracy still around 70%
    • Lowest around 30%
    • Highest at 77%
  • Confusion matrix shows highest accuracy for happy, then anger, then sadness, surprise, fear, then contempt and disgust are not detected
  • Downloaded 7 out of 11 parts of AffectNet so far

To-do:

  • Start batch training so that my computer memory isn’t taken over
  • Take equal amounts of each emotion so that gradient descent won’t be skewed towards happiness
  • Make video/preparation for demo in class
  • Take metrics for demo
  • Cross-validation

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