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Publicado en línea: 16 jun 2025
Páginas: 74 - 84
DOI: https://doi.org/10.2478/ijanmc-2025-0018
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© 2025 Mingbo Ning et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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COMPARISON BEFORE AND AFTER IMPROVEMENT
| Algorithm | Pars/M | FLOPS/G | FPS/s/f | mAP/% |
|---|---|---|---|---|
| RT-DETR | 19.8 | 57.3 | 69 | 67.1 |
| Yolov11m | 20.1 | 68.0 | 107 | 67.9 |
| Fast-RCNN | 136.5 | 370.2 | 21 | 50.2 |
| Improved RT-DETR | 14.6 | 45.2 | 60 | 69.2 |
EXPERIMENTAL ENVIRONMENT
| Experimental environment | Version |
|---|---|
| CPU | Intel Xeon Platinum 8352V |
| GPU | NVIDIA GeForce RTX4090D |
| Language | Python3.9 |
| Deep Learning Framework | Pytorch1.13.1 |
| CUDA | 11.6.0 |
DISEASE CATEGORY
| Category | Train Set | Test Set |
|---|---|---|
| D00(Longitudinal cracks) | 7419 | 876 |
| D10(Transverse cracks) | 5702 | 636 |
| D20(Alligator cracks) | 6244 | 689 |
| D40(Potholes) | 2316 | 248 |