Real-time Face Recognition and Detection

This project presents a real-time face recognition and detection system that can accurately identify and classify individuals in real-time video feeds. It has been trained on a dataset containing images of two iconic football players: Messi and Ronaldo.

Key Features

The project includes the following key components:

Training Images: A curated dataset of images featuring Messi and Ronaldo for training purposes.

Resizing and Preprocessing: Images undergo preprocessing steps to optimize them for efficient processing.

Tester Python File: A Python script is provided to test the face recognition model on random images.

Videotesting Python File: This Python script enables real-time player detection in video streams.

Tester.py Results

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VideoTester.py Results