40 datasets found

The Karolinska Directed Emotional Faces (KDEF) dataset consists of 4900 pictures of 70 subjects, each photographed twice in each of the seven facial expressions at five...

FERPlus dataset, a facial expression dataset with 28709 images.

RAFDB dataset, a facial expression dataset with 29762 images.

AffectNet dataset, a large facial expression dataset with 1M images.

A large test subset of around 5K images is annotated from the test set of FEC dataset using crowd wisdom of 16 different annotators.

FERV39k: A large-scale multi-scene dataset for facial expression recognition in videos.

DFEW: A large-scale database for recognizing dynamic facial expressions in the wild.

This paper presents a novel visual-language model called DFER-CLIP for in-the-wild dynamic facial expression recognition.

The dataset used for facial expression recognition and mask wearing classification tasks.

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...

The dataset used for facial expression recognition and mask wearing classification tasks.

The dataset used for facial expression recognition and mask wearing classification tasks.

The dataset used for facial expression recognition and mask wearing classification tasks.

A real dataset for facial expression recognition.

A real dataset for facial expression recognition.

A synthetic dataset for facial expression recognition.

A synthetic dataset for facial expression recognition.

A new end-to-end network architecture for facial expression recognition with an attention model.

Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging. This...

The JAFFE database consists of 213 images from 10 Japanese female subjects. For each subject, there are around 4 images for each of the seven expressions (including neutral).