WFLW (Wider Facial Landmarks in the Wild)

Introduced by Wu et al. in Look at Boundary: A Boundary-Aware Face Alignment Algorithm

The Wider Facial Landmarks in the Wild or WFLW database contains 10000 faces (7500 for training and 2500 for testing) with 98 annotated landmarks. This database also features rich attribute annotations in terms of occlusion, head pose, make-up, illumination, blur and expressions.

Source: Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion

Homepage