7 datasets found

The Aff-Wild database is extended by collecting videos from YouTube on which the videos have spontaneous facial expressions in the wild, annotating videos with valence and...

In the context of Human Computer Interaction(HCI), building an automatic system to recognize affect of human facial expression in real-world condition is very crucial to make...

The SEWA dataset contains video clips annotated with facial landmarks, valence, and arousal.

The AFEW-VA dataset contains video clips annotated with valence and arousal.

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

The OMG Emotion Behavior Dataset is a multimodal emotion recognition dataset, consisting of 178 long videos divided into 2725 short utterances of varying length.

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