基于改进的YOLOv5s的海鲜物体检测方法

Nan Zhu1,2, Zhaohua Liu1,2, Zhongxun Wang1,2

  • 1School of Physics and Electronic, Yantai University, Yantai 264005, China.

PubMed
概括

本研究介绍了一种使用YOLOv5s的改进的水下物体检测方法,其中包括一种新的空间通道协同注意模块和一个双路径可变内核模块. 改进的模型实现了更高的准确性和效率,用于检测水生目标,如海黄瓜.

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