deepcam-cn/yolov5-face

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2406 stars · 524 forks observed · 2026-08-28

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

YOLOv5-Face is a real-time, high-accuracy face detector built on the YOLOv5 object detection framework in PyTorch, with TensorRT deployment support. It provides pretrained models across multiple sizes and benchmarks against other face detectors like RetinaFace, SCRFD, and BlazeFace.

Use cases

• detect faces in images and video in real time
• deploy a fast face detector with TensorRT
• benchmark face detection accuracy on WiderFace
• run face detection on edge devices with lightweight models
• train a custom YOLO-based face detector

When to choose

• you need a real-time face detector with strong accuracy on hard cases
• you want YOLO-style detection with pretrained weights and TensorRT export
• you need a range of model sizes from tiny to large

When to avoid

• you need face recognition or landmarks beyond detection
• you require a permissively licensed model (GPL-3.0)
• you need a maintained project with active development

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning image-processing python cross-platform face-detection yolov5 pytorch tensorrt object-detection real-time gpu

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