Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time video.

A YOLOV4 model trained on a custom dataset using Darknet for masked and un-masked faces detection.

A simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV. This method detects the face from the image correctly and then identifies if it has a mask on it or not.

This is my future ready talent internship project. The purpose of the project is to track if the people are wearing a mask or not. It's made considering the health industry in mind.

Mask detection system using YOLOv3

Django Mask Detection app based on computer vision and deep learning using OpenCV and Pytorch