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Detecting the humans faces whether they have worn face mask or not automatically by the system for the breakout of worldwide pandemic COVID-19. We have used deep learning to develop the face detector model with libraries Keras, TensorFlow, OpenCV.
This repository contains Python code for a face mask type detection project using multiclass classification. The project focuses on classifying different types of face masks, including cloth face masks, N95 face masks, N95 face masks with valves, surgical face masks, and images without any face masks.
This project aims to develop a deep learning model for face mask detection, which can be deployed in public areas to ensure compliance with COVID-19 prevention guidelines. The model will be trained on a large dataset of masked and unmasked faces.
Implementation of the paper Real time face mask detection with SSD published in 2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering (CI-IB&BI)