Table 1 Results and parameters based on seven original models
From: L2MXception: an improved Xception network for classification of peach diseases
| Network | Batch size | Epoch | Learning rate | Training accuracy (%) | Validation accuracy (%) |
|---|---|---|---|---|---|
| AlexNet | 64 | 60 | 0.001 | 72.02 | 70.55 |
| ResNet50 | 64 | 60 | 0.001 | 68.28 | 65.23 |
| Xception | 64 | 60 | 0.001 | 67.86 | 65.37 |
| SENet154 | 64 | 60 | 0.001 | 53.00 | 56.63 |
| DenseNet169 | 32 | 60 | 0.001 | 90.49 | 89.32 |
| HRNet-w48 | 64 | 60 | 0.001 | 89.06 | 80.91 |
| MobileNetV3 | 64 | 60 | 0.001 | 57.63 | 57.60 |