yolov5-face
This project uses the YOLOv5-Face architecture for real-time, high-accuracy face detection. The integration of models like BlazeFace and SCRFD enhances performance across different levels of difficulty. With TensorRT optimization, it significantly reduces inference time, making it ideal for multi-scale face detection. Compatibility with Android and OpenCV DNN extends its application range, supporting participation in global events like the ICCV2021 Masked Face Recognition Challenge.
