Mask detection using YOLOv4
This repository contains the 4 custom files needed. (i.e. yolov4-custom.cfg, obj.data, obj.names and process.py) except obj.zip(labeled images).
I had uploaded my colab notebook also where I had created a custom object detector using Yolo-v4 to detect whether a person is wearing a mask or not. I had imported darknet in my project from https://github.com/AlexeyAB/darknet/.
Here I had used only two labels:
1.) Mask
2.) Without Mask
The obj.zip file contains 1510 images along with their YOLO labeled text files. I have labeled around 1350 of these and downloaded 149 labeled images from roboflow. I have given the links for my dataset sources at the bottom. You can download it from my drive -
https://drive.google.com/file/d/15qIgsoo3m6P4E7GhaOYPHFe4zsrj55g3/view?usp=sharing
This dataset has mostly close-up images (around 1300) and very few long-shot images (around 200).
Interesting Result
See Elon Msuk is not wearing mask 😂
Note: You can see result on more images in prediction folder.