Facial Expression Recognition 2013 Dataset
Introduced in Challenges in Representation Learning: A report on three machine learning contests2012
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral. The Disgust expression has the minimal number of images – 600, while other labels have nearly 5,000 samples each.
Source: Eavesdrop the Composition Proportion of Training Labels in Federated Learning Image Source: https://medium.com/@birdortyedi_23820/deep-learning-lab-episode-3-fer2013-c38f2e052280
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