This repository contains a Convolutional Neural Network (CNN)-based solution for accurately detecting whether individuals are wearing face masks. Face mask detection has become increasingly important in various settings to ensure compliance with safety measures.
- CNN Architecture: Utilizes a state-of-the-art Convolutional Neural Network for accurate mask detection.
- Real-time Inference: Offers real-time capabilities suitable for integration into various applications and systems.
- Pre-trained Models: Comes with pre-trained models for quick deployment.
- Custom Training: Allows you to train the model for specific use cases using your own dataset.
- Easy-to-Use: Accompanied by comprehensive documentation and code samples for straightforward implementation.
[Link to Demo Video/GIF]
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Clone the repository:
git clone https://github.com/ruturaj0626/CNN-Based-Face-Mask-Detection.git
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Install the required dependencies:
pip install -r requirements.txt
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Run the mask detection script:
python detect_mask.py
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Follow the on-screen instructions to use the mask detection system.
If you want to train the model with your own dataset, follow the instructions in the Training Guide.
Contributions are welcome! Please read our Contribution Guidelines for details.
This project is licensed under the MIT License - see the LICENSE file for details.