wywu/LAB

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1019 stars · 266 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official C++/Caffe implementation of the CVPR 2018 paper 'Look at Boundary: A Boundary-Aware Face Alignment Algorithm', which localizes facial landmarks via boundary lines. It also introduces the WFLW dataset with 10,000 faces and 98 annotated landmarks.

Use cases

• detect facial landmarks in images
• align faces for face recognition pipelines
• benchmark face alignment on 300-W, COFW, AFLW, and WFLW
• train a boundary-aware landmark model
• download and use the WFLW dataset for research

When to choose

• you need state-of-the-art facial landmark localization robust to pose, occlusion, and expression
• you want the WFLW benchmark dataset for face alignment research
• you are reproducing or building on the CVPR 2018 LAB paper

When to avoid

• you need a maintained production library with active support
• you want a PyTorch or TensorFlow implementation rather than modified Caffe
• you need Windows or macOS support - it targets Linux only

Facets

library · maturity maintenance

computer-vision machine-learning deep-learning computer-vision image-processing artificial-intelligence python cpp face-alignment facial-landmarks cvpr2018 caffe adversarial-learning wflw-dataset research-code linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="wywu/LAB")