Different algorithms for bearing defect detection performance. by Kangning Li (6069629)

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Algorithm detection performance. by Kangning Li (6069629)

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Defect detection results. by Guofeng Qin (11025170)

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Results of the bearing defect detection. by Kangning Li (6069629)

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Experimental data of ZFD-Net algorithm for defects. by Yang Gao (18005)

Comparison with other mainstream object detection algorithms. by Yang Gao (18005)

Target detection results (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right). by Xiangqian Xu (17310895)

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Effect images of CLAHE algorithm. by Yang Gao (18005)

Performance of different algorithms. by Shiwei Yu (6060308)

Target detection results in different scenes (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right). by Xiangqian Xu (17310895)

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Network structure diagram of YOLOv8 algorithm. by Weiyu Han (3448742)

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Network structure diagram of LMD-YOLO algorithm. by Weiyu Han (3448742)

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Detection results for short, spur, and spurious-copper defects. by Yazhou Li (277980)

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The defect images in the PCB defect dataset. by Shiwei Yu (6060308)

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Bearing defect dataset. by Kangning Li (6069629)

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Four types of surface defects. by Guofeng Qin (11025170)

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Performance of different algorithms. by Shiwei Yu (6060308)

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Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

An example of a labeled dataset with DB, TB, and DL tags representing three types of defects: Dot defect, stripe defect, and disconnection. by Hanfei Xie (18208462)

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Comparison table of filter algorithm parameters. by Xuanyi Zhao (5896112)

“…<div><p>In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”