Real-time Face Mask Detection

A deep learning model for real-time face mask detection using transfer learning on the InceptionV3 model pre-trained on the ImageNet dataset.

Overview

The model is able to detect whether a person is wearing a face mask or not in real-time. The model has been trained on a dataset collected from Kaggle, and fine-tuned on the InceptionV3 model pre-trained on the ImageNet dataset.

Requirements

Usage

1. Clone the repository
2. Install the required packages
3. Run the script

git clone https://github.com/niyarrbarman/RT-face-mask-InceptionV3.git
pip3 install -r requirements.txt
python3 main.py

The script will open up your webcam and display the live video feed with mask detection.

Evaluation

The model has been trained and evaluated on a dataset of around 12k images, The model has achieved an accuracy of 94% on the validation set.