A classification and location of surface defects method in hot rolled steel strips based on YOLOV7

Hot-rolled steel strip is widely used in production life and surface defects inevitably occur during its production process. In order to solve this problem, this paper proposes a method for classifying and locating surface defects in hot-rolled strip steel based on the YOLOV7 target detection model,...

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Bibliographic Details
Published inMetalurgija Vol. 62; no. 2; pp. 240 - 242
Main Authors Y. X. Sun, Y. J. Zhang, Z. H. Wei, J. T. Zhou
Format Journal Article
LanguageEnglish
Published Croatian Metallurgical Society 2023
Subjects
steel, surface defect, detection, hot rolled strip, YOLOV7
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Summary:Hot-rolled steel strip is widely used in production life and surface defects inevitably occur during its production process. In order to solve this problem, this paper proposes a method for classifying and locating surface defects in hot-rolled strip steel based on the YOLOV7 target detection model, which takes into account both accuracy and real-time performance. The method is capable of distinguishing seven common surface defects with an average accuracy of 84,3 % and a maximum accuracy of 99,6 % in a single category of defects.
ISSN:0543-5846
1334-2576