sor-o/face-recognition

This repository contains a comprehensive face recognition system that combines YOLOv8 for face detection and FaceNet for face recognition.

Face-Recognition

This repository contains a comprehensive face recognition system that combines YOLOv8 for face detection and FaceNet for face recognition. Face recognition is a critical technology with applications in security, surveillance, and user authentication. This project leverages state-of-the-art deep learning models to achieve accurate and reliable face recognition.

• Detect faces in images using YOLO.
• Crop and save the detected faces.
• Recognize faces using DeepFace and categorize them based on a pre-trained model.
• Do whatever you feel like from the features extracted.

Demo

Experience the functionality of our face recognition model, which has been trained on a dataset featuring faces of few politicians, by visiting Live Demo. Please keep in mind that this deployment is specifically designed for demonstration purposes and may not be fine-tuned for optimal performance in real-world scenarios.

Acknowledgement : For details on the deployment of the model using Streamlit, refer to this repository.

Installation

1. Clone the Repository : https://github.com/sOR-o/Face-Recognition.git
2. Install Dependencies : pip install -r requirements.txt
3. play with code.

-Can be improved by transfer learning (obviously 😉)

Contributing

Contributions to this project are welcome! If you'd like to contribute, feel free to submit issues, feature requests, or pull requests.