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AffectNet: A Large-Scale Facial Expression Recognition Dataset
AffectNet is a large-scale facial expression recognition dataset that contains over one million facial images collected from the Internet. -
Emotion Separation and Recognition from a Facial Expression
Representation learning and feature disentanglement have recently attracted much research interests in facial expression recognition. The ubiquitous ambiguity of emotion labels... -
Oulu-CASIA dataset
The Oulu-CASIA dataset is a facial expression recognition dataset that contains 6 expressions: Happy, Sad, Surprised, Angry, Fear, and Disgust. -
SPOS Database
The SPOS database contains both gray and near-infrared sequences of images in 640 × 480 resolution with 25 frames per second. -
MMI Facial Expression Database
The MMI Facial Expression Database contains 38 labeled posed smiles. -
BBC Database
The BBC database contains 20 videos, recorded in 314 × 286 pixels with 25 frames per second. -
UVA-NEMO Smile Database
The UVA-NEMO Smile Database contains 597 spontaneous and 643 posed smile videos. -
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recog...
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... -
Extended Cohn–Kanade (CK+) dataset
The Extended Cohn–Kanade (CK+) dataset is a large-scale facial expression recognition dataset containing 2,065 images of 215 subjects displaying 8 basic emotions. -
Radboud Faces Database (RaFD)
The Radboud Faces Database (RaFD) is a high-quality faces database containing pictures of 67 models (including Caucasian males and females, Caucasian children, both boys and...