Facial Expression Recognition

The FER-2013 dataset created for the Facial Expression Recognition Competition consists of 35887 images with a resolution of 48x48 pixels showing facial expressions corresponding to seven different emotion classes (Angry, Disgust, Fear, Happy, Sad, Surprise and Neutral). 80% of this dataset was used for training and 20% for testing.