biubug6/Face-Detector-1MB-with-landmark

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1107 stars · 275 forks observed · 2026-08-28

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

A PyTorch-based ultra-lightweight face detection library (~1MB models) with 5-point facial landmark detection, offering slim, RFB, and Retinaface-mobile0.25 variants. It includes training, evaluation on WIDER FACE, ONNX export, and ncnn C++ inference for mobile/edge deployment.

Use cases

• detect faces in images with a tiny model
• find facial landmarks like eyes and nose
• deploy face detection on mobile or embedded devices
• train a lightweight face detector on WIDER FACE
• convert face detection model to onnx or ncnn
• run real-time face detection with low compute

When to choose

• you need a sub-1MB face detector with landmarks for edge or mobile deployment
• you want ncnn or ONNX inference from a PyTorch-trained model
• you need to train or fine-tune a lightweight detector on WIDER FACE

When to avoid

• you need full face recognition or identity matching, not just detection
• you need heavy occlusion or extreme pose robustness beyond lightweight model accuracy
• you want a maintained production library with active updates and releases

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning artificial-intelligence python cpp cross-platform face-detection facial-landmarks retinaface ncnn onnx pytorch edge-deployment mobile-inference widerface linux gpu

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markdown · JSON · MCP: product_card(name="biubug6/Face-Detector-1MB-with-landmark")