Recognition effect of each model.

<div><p>The automatic detection of the degree of surface corrosion on metal structures is of significant importance for assessing structural damage and safety. To effectively identify the corrosion status on the surface of coastal metal facilities, this study proposed a CBG-YOLOv5s model...

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Bibliographic Details
Main Author:	Mingjiao Fu (18340281) (author)
Other Authors:	Zhitong Jia (17709113) (author), Lingzhi Wu (133076) (author), Zhendong Cui (18340284) (author)
Published:	2024
Subjects:	Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified spatial attention capabilities conducted extensive experiments assessing structural damage coastal metal facilities lighter c3ghost module feature fusion part module effectively enhanced yolov5s </ p metal surface corrosion metal structures effectively identify c3cbam module c3 module surface corrosion feature representation feature map corrosion status yolov5s model xlink "> thereby improving study proposed significant importance running speed results showed computational load
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Recognition effect of each model.

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