Detection and recognition of metal surface corrosion based on CBG-YOLOv5s
Mingjiao Fu,
Zhitong Jia,
Lingzhi Wu
et al.
Abstract: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 for metal surface corrosion detection, based on the YOLOv5s model. Firstly, we integrated the Convolutional Block Attention Module (CBAM) into the C3 module and developed the C3CBAM module. This module effectively enhanced the channel… Show more
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