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This document presents an improved YOLOv5-based deep learning system for jellyfish detection, addressing the challenges posed by jellyfish outbreaks on marine ecosystems. The authors developed a new dataset of over 11,000 labeled jellyfish images using a model-assisted labeling method, which significantly reduces manual annotation time. The improved YOLOv5-nano model demonstrates enhanced accuracy and performance, achieving 89.1% [email protected] and outperforming other detection models in various tests.

Author

sush33897

Language

EN