7 datasets found

The MMI facial expression dataset contains 203 sequences from 19 subjects.

The MUG facial expression dataset contains 1462 sequences from 86 subjects.

The proposed FER system is evaluated on three different datasets: extended Cohn-Kanade (CK+) facial expression dataset, M&M Initiative (MMI) dataset, and Multimedia...

The dataset used in the paper is a facial expression recognition dataset, which includes images of faces with different expressions.

The RaFD dataset contains facial expressions with 17 AUs (1, 2, 4, 5, 6, 7, 9, 10, 12, 14, 15, 17, 20, 23, 25, 26 and 45) annotated with intensity values.

The Oulu-CASIA dataset is a facial expression recognition dataset that contains 6 expressions: Happy, Sad, Surprised, Angry, Fear, and Disgust.

Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive...