Journal of Applied Optics, Volume. 44, Issue 4, 792(2023)
Bridge disease detection and recognition based on improved YOLOX algorithm
Figures & Tables(13)
Fig. 3. Improved YOLOX (increased lateral connections and shallow fusion module)
Table 1. Initialization of parameters
View tableView in ArticleTable 1. Initialization of parameters
输入图片尺寸/像素 优化器 动量系数 冻结次数 批量大小 学习率 解冻次数 批量大小 学习率 总次数 640×640 Adam 0.8 50 16 0.001 200 8 0.0001 250
Table 2. The number of various diseases in training set
View tableView in ArticleTable 2. The number of various diseases in training set
各种病害 风化 裂缝 露筋 剥落 腐蚀污点 总计 训练集病害框数目 2579 8259 4866 6173 4971 26848
Table 3. Confusion matrix
Table 4. Experimental results of improved YOLOX and YOLOX
View tableView in ArticleTable 4. Experimental results of improved YOLOX and YOLOX
算法 平均精度/% 平均精度均值/% 风化 裂缝 漏筋 腐蚀污点 剥落 原YOLOX 82.80 77.77 94.57 90.01 93.19 87.67 YOLOX-aa 82.89 82.15 94.72 90.02 93.37 88.63 YOLOX-b 86.25 83.31 96.35 91.74 93.42 90.22 YOLOX-c 85.39 86.14 96.53 92.49 95.34 91.18 YOLOX-d 88.67 85.91 97.07 93.10 95.78 92.11 YOLOV-5 82.54 79.01 74.67 66.71 78.69 76.32
Table 5. Comparison of improved algorithm with those proposed by other researchers
View tableView in ArticleTable 5. Comparison of improved algorithm with those proposed by other researchers
算法 平均精度/% 平均精度 均值/% 风化 剥落 漏筋 腐蚀污点 裂缝 YOLOX-d 88.67 85.91 97.07 93.10 95.78 92.11 改进YOLOV3 81.4 86.0 89.2 85.6 _ 86.6
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Yanna LIAO, Liang YAO. Bridge disease detection and recognition based on improved YOLOX algorithm[J]. Journal of Applied Optics, 2023, 44(4): 792
Paper Information
Category: Research Articles
Received: Jul. 7, 2022
Accepted: --
Published Online: Aug. 10, 2023
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