Xiaoyan Wang, Xiyu Wang, Jie Li, Wenhui Liang, Jianhong Mou, Churan Bi. MAS-YOLOv8n road damage detection algorithm from the perspective of drones[J]. Opto-Electronic Engineering, 2024, 51(10): 240170
- Opto-Electronic Engineering
- Vol. 51, Issue 10, 240170 (2024)
Fig. 1. YOLOv8 model structure
Fig. 2. Multi-branch hybrid attention mechanism (MBMA module) structure
Fig. 3. C2f structure improvement. (a) Original C2f structure; (b) Improved C2f structure
Fig. 4. Example of bounding box regression
Fig. 5. Schematic diagram of ShapeIoU calculation
Fig. 6. Examples of road damage types
Fig. 7. YOLOv8n confusion matrix
Fig. 8. Confusion matrix of the model in this article
Fig. 9. Example of detection results
Fig. 10. Heat map of visual features of attention mechanism
Fig. 11. Experimental results before and after improvement of the label allocation algorithm. (a) Comparison of Loss value changes; (b) Comparison of mAP changes
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Table 1. Dataset road damage details
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Table 2. Experimental environment configuration
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Table 3. Comparative experimental results
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Table 4. Verification results of attention mechanism
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Table 5. Results of the ablation experiment
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