FER2013 (Facial Expression Recognition 2013 Dataset)

Introduced by Goodfellow et al. in Challenges in Representation Learning: A report on three machine learning contests

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

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