Real-Time Underwater Object Detection System Using YOLOv8 with Edge Optimization

Developed a real-time computer vision system for detecting and tracking underwater marine objects using YOLOv8. The model was trained on a custom dataset and optimized for small object detection using SAHI slicing techniques.