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

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

Repository: https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices
Canonical: https://ross.abutalabs.com/products/lffd-a-light-and-fast-face-detector-for-edge-devices
Language: Python
License: MIT
License Family: permissive
Last push: 2021-03-08T16:10:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2598, "days_push": 2004, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1323, forks 324 (observed 2026-08-28T04:04:22.148454+00:00)

## What it is
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 The repository is no longer maintained; the author recommends its successor, LFD.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
- artifact type: library
- maturity: abandoned
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, machine-learning, embedded-systems
- platform: python, cross-platform
- tags: face-detection, object-detection, edge-devices, lightweight-models, deprecated, linux

## Member repositories
- YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:22.148454+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:47:03.433086+00:00, confidence not recorded.
  - readme: https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices (fetched 2026-08-28T04:04:22.148454+00:00, sha 4d2873bf86e4)
- Data as of 2026-08-30T08:39:29.467469+00:00.