Deep Learning Based Defect Detection Research on Printed Circuit Boards
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21. Juli 2024
Über diesen Artikel
Online veröffentlicht: 21. Juli 2024
Seitenbereich: 51 - 58
DOI: https://doi.org/10.2478/ijanmc-2024-0015
Schlüsselwörter
© 2024 Qihang Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Experimental Results
| Faster R-CNN | 89.5 | 20.5 | 125.3 |
| YOLOv5 | 85.3 | 79.4 | 42.7 |
| YOLOv7 | 87.1 | 102.5 | 37.2 |
| YOLOv8 | 92.3 | 157.2 | 28.5 |
Experimental Environment
| CPU | Intel Core i7-11800H |
| GPU | NVIDIA GeForce RTX307 |
| Language | Python3.7 |
| Deep Learning Framework | Pytorch1.11.0 |
| CUDA | 11.3.0 |
| Compiler | Pycharm2021 |