YOLOv8 achieves the highest mAP of 80.9% for detecting 15 classes of underwater waste among the tested models.
The economic cost and control of marine debris damage in the Asia-Pacific region,
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Underwater Waste Detection Using Deep Learning A Performance Comparison of YOLOv7 to 10 and Faster RCNN
YOLOv8 achieves the highest mAP of 80.9% for detecting 15 classes of underwater waste among the tested models.