YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1323 stars · 324 forks observed · 2026-08-28

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

LFFD is a light and fast single-class object detection framework designed for edge devices, with pretrained models for face, head, pedestrian, vehicle, and license plate detection. The repository is no longer maintained; the author recommends its successor, LFD.

Use cases

• detect faces in images on edge devices
• run fast face detection on embedded hardware like Jetson TX2
• detect pedestrians in camera footage
• detect heads in crowded scenes
• detect license plates from vehicle images
• train a lightweight single-class object detector

When to choose

• you need a lightweight detector for resource-constrained edge hardware
• you want pretrained models for faces, heads, pedestrians, or license plates
• you need low-latency detection rather than state-of-the-art accuracy

When to avoid

• you want an actively maintained project - use the successor LFD repo instead
• you need multi-class object detection
• you need maximum accuracy on modern benchmarks

Facets

library · maturity abandoned

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning embedded-systems python cross-platform face-detection object-detection edge-devices lightweight-models deprecated linux

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markdown · JSON · MCP: product_card(name="YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices")