Face-Recognition

This is a Streamlit web application for face recognition using a pre-trained YOLO (You Only Look Once) model and the DeepFace library. The app allows users to upload an image, detects faces, and performs face recognition to identify known faces.

Quick Overview of Working

• Face Detection: The app uses the YOLO model to detect faces in uploaded images.

• Face Extraction: Crop and save the detected faces.

• Face Recognition: The DeepFace library is employed for face recognition. Known faces are saved in the 'known' folder, and unknown faces are saved in the 'unknown' folder.

• User-friendly Interface: The Streamlit app provides a user-friendly interface for easy interaction.

Usage

1. Clone the repository:

   git clone https://github.com/jeswinbinu/Face-Recognition.git
   

2. Navigate to the directory:

   cd Face-Recognition
   

3. Install the required dependencies(in a virtual Environment):

   pip install -r requirements.txt
   

4. Run the Streamlit app:

   streamlit run streamlit_app.py
   

Acknowledgement: This repository is the deployed and simplified version of this.

License

This project is licensed under the MIT License.