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 Specification
• Dataset examples

WIDER Face export

For export of images:

• Supported annotations: Bounding Boxes (with attributes), Tags.
• Attributes:
  • blur, expression, illumination, pose, invalid
  • 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:
  • blur, expression, illumination, occluded, pose, invalid