Research Article
Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel-Level Accuracy
| Model | MIoU (%) | IoU (%) | mRecall (%) | mPrecision (%) |
| DL | 81.12 | 62.29 | 86.96 | 88.76 | R + DL | 81.14 | 62.83 | 87.34 | 89.63 | C + DL | 81.04 | 62.64 | 87.05 | 89.80 | F + DL | 80.59 | 61.69 | 87.71 | 89.35 | L + DL | 82.19 | 64.89 | 87.98 | 90.57 | R + C + DL | 81.26 | 63.07 | 87.87 | 89.24 | R + L + DL | 82.72 | 65.96 | 89.96 | 89.51 | C + L + DL | 82.78 | 66.07 | 89.13 | 90.20 | R + C + L + DL | 82.85 | 66.21 | 89.85 | 89.57 | F + C + DL | 80.59 | 61.69 | 86.25 | 89.96 | F + L + DL | 82.72 | 65.96 | 90.41 | 89.48 | F + C + L + DL | 83.23 | 66.96 | 90.47 | 89.51 |
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The bold font is to highlight that the optimized algorithm in this paper performs better than any of the other optimizations.
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