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YOLOv8 Enhancement for Marine Debris Detection by umang.sonthaliya1 is a document available to read on EtoBox.

What is YOLOv8 Enhancement for Marine Debris Detection about?

This study focuses on enhancing underwater debris detection in marine environments using a fine-tuned YOLOv8 model, achieving a detection accuracy of 97.8% and a mean average precision (mAP) of 97.4%. The research addresses challenges such as poor image quality through advanced image enhancement techniques and a novel feature extractor. Results demonstrate superior performance compared to traditional methods and other deep learning models, highlighting the importance of machine learning in protecting marine

Author

umang.sonthaliya1

Language

EN