Facial Expression Research Group Database
FERG is a database of cartoon characters with annotated facial expressions containing 55,769 annotated face images of six characters. The images for each character are grouped into 7 types of cardinal expressions, viz. anger, disgust, fear, joy, neutral, sadness and surprise.
Source: VGAN-Based Image Representation Learningfor Privacy-Preserving Facial Expression Recognition
Image Source: http://grail.cs.washington.edu/projects/deepexpr/ferg-2d-db.html
Variants: FERG
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Facial Expression Recognition (FER) | GReFEL | GReFEL: Geometry-Aware Reliable Facial Expression … | 2024-10-21 |
| Facial Expression Recognition (FER) | DeepEmotion | Deep-Emotion: Facial Expression Recognition Using … | 2019-02-04 |
Recent papers with results on this dataset: