WFLW stands for Wider Facial Landmarks in the Wild, which contains 10,000 faces (7,500 for training and 2,500 for testing) and 98 annotated landmarks. In addition to landmarks, the dataset also contains rich attribute annotations (occlusion, pose, makeup, lighting, blur, and expression, etc.).