Caltech Occluded Faces in the Wild
The Caltech Occluded Faces in the Wild (COFW) dataset is designed to present faces in real-world conditions. Faces show large variations in shape and occlusions due to differences in pose, expression, use of accessories such as sunglasses and hats and interactions with objects (e.g. food, hands, microphones, etc.). All images were hand annotated using the same 29 landmarks as in LFPW. Both the landmark positions as well as their occluded/unoccluded state were annotated. The faces are occluded to different degrees, with large variations in the type of occlusions encountered. COFW has an average occlusion of over 23.
Source: http://www.vision.caltech.edu/xpburgos/ICCV13/#dataset
Image Source: http://www.vision.caltech.edu/xpburgos/ICCV13/#dataset
Variants: COFW, COFW-68, COFW-68 (300WLP)
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Facial Landmark Detection | D-ViT | Cascaded Dual Vision Transformer for … | 2024-11-08 |
| Facial Landmark Detection | FiFA | Fiducial Focus Augmentation for Facial … | 2024-02-23 |
Recent papers with results on this dataset: