This project focuses on detecting football players and the ball in match videos using computer vision and deep learning techniques.
The system analyzes video frames and automatically identifies players and the ball in real time.
The model can be used for sports analytics, match analysis, and automated highlight generation.
Key Features
Automatic detection of football players and ball
Real-time video frame processing
Bounding box visualization around detected objects
Can be used for sports analysis and statistics
Technologies Used
Python
Computer Vision
Deep Learning
OpenCV
YOLO Object Detection
