YOLOv5s‐GC‐Based Surface Defect Detection Method of Strip Steel

Detecting surface defects in strip steel is significantly important for improving production efficiency and product quality. Herein, a novel surface defect detection of strip steel method based on You Only Look Once (YOLO)v5s‐GC is proposed. First, a ResNet‐Mini is developed to preclassify the origi...

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Veröffentlicht in:	Steel research international 2024-04, Vol.95 (4), p.n/a
Hauptverfasser:	Li, Xi‐Xing, Yang, Rui, Zhou, Hong‐Di
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms convolutional block attention modules defect detections GhostBottleneck Image enhancement image preprocessing Mathematical analysis Modules Normal distribution Object recognition Strip steel Surface defects You only look oncev5s‐GC
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