Table 8. Comparative classification results.
| Algorithm | Evaluating indicator | Leaks | Mouse bites | Open circuits | Short circuits | Burrs | Residual copper | Average value |
|---|---|---|---|---|---|---|---|---|
| Algorithm in this article | Accuracy Rate/% | 99.43 | ||||||
| Precision Rate/% | 100 | 100 | 98.82 | 100 | 97.67 | 100 | 99.42 | |
| Recall rate/% | 100 | 97.73 | 100 | 98.98 | 100 | 100 | 99.45 | |
| F1 score/% | 100 | 98.85 | 99.41 | 99.49 | 98.82 | 100 | 99.43 | |
| AlexNet | Accuracy Rate/% | 97.16 | ||||||
| Precision Rate/% | 92.63 | 97.67 | 100 | 96.04 | 97.65 | 100 | 97.33 | |
| Recall rate/% | 100 | 95.45 | 95.24 | 98.98 | 98.81 | 94.25 | 97.12 | |
| F1 score/% | 96.17 | 96.55 | 97.56 | 97.49 | 98.22 | 97.04 | 97.17 | |
| VGG-16 | Accuracy Rate/% | 98.11 | ||||||
| Precision Rate/% | 100 | 98.84 | 98.75 | 96.00 | 95.45 | 100 | 98.17 | |
| Recall rate/% | 100 | 96.59 | 94.05 | 97.96 | 100 | 100 | 98.10 | |
| F1 score/% | 100 | 97.7 | 96.34 | 96.97 | 97.67 | 100 | 98.11 | |
| ResNet-50 | Accuracy Rate/% | 98.68 | ||||||
| Precision Rate/% | 100 | 96.67 | 100 | 97.00 | 100 | 98.86 | 98.76 | |
| Recall rate/% | 100 | 98.86 | 96.43 | 98.98 | 97.62 | 100 | 98.65 | |
| F1 score/% | 100 | 97.75 | 98.18 | 97.98 | 98.8 | 99.43 | 98.69 | |