基于改进YOLOv8的3D打印混凝土表观缺陷检测方法
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田卫,周菻鈜,李欣阳,王建明,黄余康
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3D-printed concrete apparent defect detection method based on improved YOLOv8
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Wei TIAN,Linhong ZHOU,Xinyang LI,Jianming WANG,Yukang HUANG
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| 表 4 YOLOv8-SRA模型各模块消融实验结果 |
| Tab.4 Results of ablation experiments on each module of YOLOv8-SRA model |
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| 算法 | AP@0.5/% | $ P $/% | $ R $/% | mAP@0.5/% | FPS/帧 | | 孔洞 | 麻面 | 断裂 | 坍塌 | | YOLOv8 | 76.3 | 86.8 | 95.2 | 95.5 | 83.9 | 82.9 | 88.5 | 143 | | YOLOv8-S | 81.5 | 90.7 | 95.3 | 95.7 | 86.9 | 85.3 | 90.8 | 138 | | YOLOv8-R | 78.3 | 90.1 | 96.5 | 96.6 | 84.6 | 84.2 | 90.4 | 135 | | YOLOv8-A | 77.7 | 87.2 | 95.0 | 97.3 | 87.3 | 84.0 | 89.3 | 131 | | YOLOv8-SR | 82.6 | 96.3 | 96.5 | 99.2 | 91.1 | 90.2 | 93.6 | 127 | | YOLOv8-SA | 81.1 | 92.6 | 95.2 | 97.6 | 85.8 | 87.8 | 91.6 | 129 | | YOLOv8-SRA | 87.2 | 96.3 | 96.4 | 98.9 | 91.3 | 92.6 | 94.7 | 124 |
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