deepcam-cn/yolov5-face
A face detection model implementing YOLOv5 architecture with support for multiple backbone variants and TensorRT acceleration.
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YOLOv5Face is a face detection implementation built on the YOLO (You Only Look Once) object detection architecture, adapted specifically for face detection tasks. The repository provides multiple model variants ranging from nano to large configurations, with benchmarks on standard face detection datasets (Easy, Medium, Hard). It includes TensorRT integration for optimized inference performance on GPU, alongside support for alternative backbones like BlazeFace and ShuffleNet.
Frequently asked
- What is deepcam-cn/yolov5-face?
- A face detection model implementing YOLOv5 architecture with support for multiple backbone variants and TensorRT acceleration.
- Is yolov5-face open source?
- Yes — deepcam-cn/yolov5-face is open source, released under the GPL-3.0 license.
- What language is yolov5-face written in?
- deepcam-cn/yolov5-face is primarily written in Python.
- How popular is yolov5-face?
- deepcam-cn/yolov5-face has 2.4k stars on GitHub.
- Where can I find yolov5-face?
- deepcam-cn/yolov5-face is on GitHub at https://github.com/deepcam-cn/yolov5-face.