WFLW

Wider Facial Landmarks in the Wild

Dataset Information
Modalities
Images
Introduced
2018
License
Unknown
Homepage

Overview

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
Image Source: https://wywu.github.io/projects/LAB/WFLW.html

Variants: WFLW, WFW (Extra Data)

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

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
Facial Landmark Detection ELD (EfficientNetV2B1) Automated Detection of Cat Facial … 2023-10-15

Research Papers

Recent papers with results on this dataset: