marine debris

This study explores the application of YOLOv8, a cutting-edge object detection framework, to detect underwater waste.  As concerns about protecting marine ecosystems grow, the effective identification and removal of underwater debris have become critical.  The research adapts YOLOv8 to address challenges such as variable lighting, distortions, and occlusions in underwater environments.  A specialized dataset, containing various underwater landscapes and debris types, was created to train and evaluate the model.  Experimental results show strong performance across differ