12 datasets found

The C-EXPR-DB dataset contains 400 videos totaling approximately 200,000 frames, with each frame annotated for 12 compound expressions.

The AffectNet dataset contains over a million images of faces annotated with valence and arousal.

Aff-Wild2 is a large-scale in-the-wild database for affective behavior analysis, containing 564 videos with frame-level annotations for valence-arousal estimation, facial action...

The BU-3DFE database contains 3D face scans and images of 100 persons (56 female and 44 male), with varying ages (18-70 years) and diverse ethnic/racial ancestries. Each subject...

Facescape: A large-scale high-quality 3D face dataset and detailed riggable 3D face prediction.

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) dataset contains 24 professional actors (12 female, 12 male) to offer the performance with good quality and...

A database for facial expression analysis

The SFEW dataset is a subset of EmotiW2015 in-the-wild emotion dataset.

Label distribution learning on auxiliary label space graphs for facial expression recognition.

The dataset consists of a significant collection of 60,000 facial expression images, categorized into eight different classes, including neutral, happy, angry, sad, fear,...

Facial Expression Recognition (FER) is a classification task that points to face variants. Hence, there are certain affinity features between facial expressions, receiving lit-

FER2013 is a crowdsourced dataset. Each image was individually labeled by 40 taggers for the sake of rigor.