dibyansu24-maker / mask-detector

Real-time face mask detection model

Face Mask Detector

Real-time face mask detection model

💻 Tech/framework used

• OpenCV
• Caffe-based face detector
• Keras
• TensorFlow
• MobileNetV2

⭐ Features

Our face mask detector didn't use any morphed masked images dataset. The model is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient and thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.

📁 Dataset

The dataset used can be downloaded here - Click to Download

This dataset consists of 3835 images belonging to two classes:

• with_mask: 1916 images
• without_mask: 1919 images

The images used were real images of faces wearing masks. The images were collected from the following sources:

• Bing Search API (See Python script)
• Kaggle datasets
• RMFD dataset (See here)