he WIDER Face dataset is widely used for face detection tasks. Many popular models for object detection and face detection specifically are trained on this dataset for benchmarking and deployment.
For more information, see:
WIDER Face export
For export of images:
- Supported annotations: Bounding Boxes (with attributes), Tags.
occluded(both the annotation property & an attribute).
- Tracks: Not supported.
The downloaded file is a .zip archive with the following structure:
taskname.zip/ ├── labels.txt # optional ├── wider_face_split/ │ └── wider_face_<any_subset_name>_bbx_gt.txt └── WIDER_<any_subset_name>/ └── images/ ├── 0--label0/ │ └── 0_label0_image1.jpg └── 1--label1/ └── 1_label1_image2.jpg
WIDER Face import
Uploaded file: a zip archive of the structure above
- supported annotations: Rectangles (with attributes), Labels
- supported attributes: