Google Facial Expression Dataset

Submitted by on Jan 08 2020 } Suggest Revision
By: Raviteja Vemulapalli, Aseem Agarwala
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This dataset is a large-scale facial expression dataset consisting of face image triplets along with human annotations that specify which two faces in each triplet form the most similar pair in terms of facial expression. Each triplet in this dataset was annotated by six or more human raters. This dataset is quite different from existing expression datasets that focus mainly on discrete emotion classification or action unit detection. This dataset is intended to aid researchers working on topics related to facial expression analysis such as expression-based image retrieval, expression-based photo album summarization, emotion classification, expression synthesis, etc.
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