IMAGE-RECOGNITION-MODEL-OPENCV

Masked/Unmasked Face Detection Model

Overview

As the COVID-19 pandemic shaped the world, wearing face masks became crucial in safeguarding public health. This repository houses an advanced image recognition model trained using OpenCV to identify whether a person is wearing a mask. Developed during the pandemic's height, this model played a pivotal role in enforcing face mask guidelines and ensuring public safety.

Features

1. High Accuracy: Leveraging the power of OpenCV, the model offers impressive accuracy rates.
2. Real-time Analysis: Designed for instantaneous feedback, suitable for real-time applications.
3. Historical Significance: A tool born out of the COVID-19 era's necessity, reflecting technology's responsive nature.

Getting Started

Prerequisites

• Python (>=3.6)
• OpenCV library (See requirements.txt for other dependencies.)

Installation

1. Clone the repository:

git clone cd masked-unmasked-detection pip install -r requirements.txt

Contributing

Please read CONTRIBUTING.md for the process to submit pull requests, and the code of conduct.

License This project is licensed under the MIT License. Check out LICENSE.md for more details.

Acknowledgments OpenCV Community and Contributors. Frontline workers and health professionals during the COVID-19 pandemic.