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emotion classification using fer2013 datasets with a Tensorflow CNN model.

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emotion_classification

This is my personal exercises that use fer2013 datasets with Tensorflow to classify face emotion. I used vgg and resnet respectively,but all perform poor.In the test datasets,two model achieve accuracy of 54% and 48%.

Except the reasons I do incorrectly, there are several problems with this datasets:

  1. Pixel is too low
  2. Have a front face, side face, cartoon face and so on. Some kinds of faces that I can't tell what.
  3. Data is not a face.

The pre-trained model be put into model/ folder.

Below picture shows the training-process on tensorboard:

Vgg:


Loss


Accuracy

Resnet:


Loss


Accuracy

camera/video demo:

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emotion classification using fer2013 datasets with a Tensorflow CNN model.

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