Table 5 Type identification models with PGGAN Augmentation.
Ensemble Models with PGGAN Augmentation | Accuracy (%) | Recall | F1-Score |
|---|---|---|---|
Resnet-DenseNet-Ensemble Model | 59.96 | 0.60 | 0.57 |
VGG16-DenseNet-Ensemble Model | 72.49 | 0.72 | 0.64 |
VGG16-Resnet-DenseNet-Ensemble Model | 80.42 | 0.80 | 0.75 |
VGG16-Resnet-Ensemble Model | 87.13 | 0.87 | 0.82 |
ViT | 91.28 | 0.89 | 0.85 |
VGG16-ResNet50-ViT-Proposed Ensemble Model | 93.68 | 0.90 | 0.94 |