基于YOLOv11n的改进铁路工人安全穿戴检测模型
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武晓春,李梓宁
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Improved railway worker safety wear detection model based on YOLOv11n
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Xiaochun WU,Zining LI
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| 表 6 消融实验结果 |
| Tab.6 Result of ablation experiment |
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| 模型 | VABlock | MSF | SE2SPPF | P/% | R/% | mAP50/% | mAP50:95/% | FLOPs/109 | Np/106 | | YOLOv11n | — | — | — | 94.4 | 90.3 | 94.8 | 65.4 | 6.3 | 2.58 | | V-YOLO | √ | — | — | 96.2 | 89.4 | 95.6 | 66.7 | 6.0 | 2.19 | | M-YOLO | — | √ | — | 96.4 | 90.8 | 96.2 | 66.9 | 7.7 | 2.96 | | S-YOLO | — | — | √ | 96.3 | 89.3 | 95.9 | 66.7 | 6.3 | 2.62 | | VM-YOLO | √ | √ | — | 96.6 | 89.5 | 96.3 | 67.1 | 7.1 | 2.41 | | VS-YOLO | √ | — | √ | 96.4 | 91.6 | 96.5 | 67.3 | 6.0 | 2.22 | | MS-YOLO | — | √ | √ | 96.8 | 91.4 | 96.7 | 67.5 | 7.7 | 2.99 | | VMS-YOLO | √ | √ | √ | 98.0 | 92.5 | 97.5 | 67.8 | 7.1 | 2.45 |
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