Table 3 Type identification models Performance with geometric augmentation.
Ensemble models with geometric augmentation | Accuracy (%) | Recall | F1-Score |
|---|---|---|---|
Resnet-DenseNet-Ensemble Model | 57.67 | 0.58 | 0.51 |
VGG16-DenseNet-Ensemble Model | 64.20 | 0.64 | 0.60 |
VGG16-Resnet-DenseNet-Ensemble Model | 66.84 | 0.67 | 0.63 |
VGG16-Resnet-Ensemble Model | 81.83 | 0.82 | 0.81 |
ViT | 86.28 | 0.82 | 0.82 |
VGG16-ResNet50-ViT-Proposed Ensemble Model | 89.98 | 0.82 | 0.89 |