基于改进YOLOv8s的鼓形滚子表面缺陷检测算法
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王安静,袁巨龙,朱勇建,陈聪,吴金津
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Drum roller surface defect detection algorithm based on improved YOLOv8s
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Anjing WANG,Julong YUAN,Yongjian ZHU,Cong CHEN,Jinjin WU
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表 6 端面检测结果 |
Tab.6 End face test results |
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算法 | AP | P | R | mAP@0.5 | v/(帧·s−1) | Np/107 | 环伤 | 磕碰 | 锈蚀 | 点蚀 | 崩边 | YOLOv8s | 0.976 | 0.910 | 0.915 | 0.701 | 0.985 | 0.901 | 0.850 | 0.895 | 60.5 | 1.112 | YOLOv8s+小目标检测层 | 0.982 | 0.895 | 0.928 | 0.774 | 0.992 | 0.910 | 0.873 | 0.914 | 51.6 | 1.263 | YOLOv8+GFPN | 0.973 | 0.924 | 0.935 | 0.724 | 0.994 | 0.912 | 0.867 | 0.908 | 57.1 | 1.347 | YOLOv8+SPD-Conv | 0.967 | 0.943 | 0.929 | 0.716 | 0.995 | 0.908 | 0.863 | 0.910 | 53.4 | 1.266 | YOLOv8s+3个改进点 | 0.981 | 0.951 | 0.945 | 0.801 | 0.995 | 0.923 | 0.881 | 0.930 | 40.2 | 1.410 |
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