17 datasets found

The FaceScape dataset captures 20 different expressions of 938 subjects captured via a dense multi-view system that includes 68 DSLR cameras.

The FaMoS dataset records 95 subjects, each performing 28 predefined actions (e.g. anger, disgust, fear, surprise).

The UNBC-McMaster Shoulder Pain Expression Archive Database contains face videos of patients suffering from shoulder pain while performing range-of-motion tests of their arms.

The BU-4DFE dataset contains 101 subjects, each displaying six acted categorical facial expressions with moderate head pose variations.

Are you really smiling at me? spontaneous versus posed enjoyment smiles

The paper presents a dataset called FERET, which consists of a training set FA with a single face image for each of 1196 subjects, and 4 probe sets with pose, expression,...

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

The mug facial expression database is a facial expression dataset containing 882 videos of 52 actors performing 6 different facial expressions.

Facial expression recognition dataset in the wild

INSTA is a neural radiance field based method for photo-realistic digital avatars reconstructing.

The JAFFE dataset is a collection of images of Japanese faces, each with a specific facial expression. The dataset was created to test the psychological plausibility of a...

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 Multi-PIE dataset consists of 754,200 images from 337 subjects with large variations in head pose, illumination, and facial expression.

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

A dataset of MUG facial expression, consisting of videos of 52 actors performing 6 different facial expressions.

The DISFA dataset is a publicly available spontaneous facial expression dataset which contains 27 subjects (12 females, and 15 males) aged in between [18, 50] and ethnically 3...

The dataset used for emotion recognition, featuring facial expression images.