yolov8

The aim of this project is to develop an efficient computer vision model capable of real-time wildlife detection.

The model is based on a YOLOv8 (Deep learning Neural network architecture) and is trained on the publicly available dataset, which consists of lung CT scans of patients with and without lung cancer.

The License Plate Recognition (LPR) System is a computer vision project designed to detect and recognize license plates in images or video streams.

An end-to-end tennis video analysis system leveraging Ultralytics YOLOv8 for player and ball detection, multi-object tracking across frames, and a custom CNN for court keypoint extraction, providing data-driven insights into player movement, ball trajectories, and match dynamics using advanced computer vision and deep learning techniques.