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. 2024 Nov 29;24(23):7649. doi: 10.3390/s24237649

Table 11.

Classification results of the ResNet50 model for MO images of weld defects.

Defect Types Number
of Images
Train Samples Valid
Samples
Test Samples Recognition
Result
Classification
Accuracy/%
Crack 1000 800 100 100 99 99
Pit 1000 800 100 100 98 98
Lack of penetration 1000 800 100 100 100 100
Gas pore 1000 800 100 100 98 98
No defects 1000 800 100 100 100 100
Total 5000 4000 500 500 495 99