Face_Mask_Detection-YOLOv4

In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The model detects different types of face and head coverings and identifies whether a person is wearing a face mask or not.The model was trained on the top of Darknet implementation on 6000 images. The mean average precision of the model is 96.06%.The avg loss of the model is 3.8.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
cfg		cfg
data		data
static		static
templates		templates
tool		tool
.gitignore		.gitignore
README.md		README.md
api.py		api.py
cfg.py		cfg.py
dataset.py		dataset.py
demo.py		demo.py
demo_darknet2onnx.py		demo_darknet2onnx.py
demo_pytorch2onnx.py		demo_pytorch2onnx.py
demo_tensorflow.py		demo_tensorflow.py
demo_trt.py		demo_trt.py
evaluate_on_coco.py		evaluate_on_coco.py
main.py		main.py
models.py		models.py
requirements.txt		requirements.txt

Gokulnath31/Face_Mask_Detection-YOLOv4

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