Table 2.
Examination of models for training as well as validation dataset.
| Models |
|
|
||
|---|---|---|---|---|
(%) |
|
(%) |
|
|
| EfficientNet B0 | 89.49 | 0.22 | 89.49 | 0.76 |
| DenseNet 169 | 79.46 | 0.49 | 89.46 | 0.491 |
| Xception | 89.52 | 0.46 | 89.26 | 0.19 |
| MobileNet V2 | 89.59 | 0.16 | 89.46 | 0.50 |
| ResNet50 V2 | 89.49 | 0.59 | 89.53 | 0.91 |
| ResNet152 V2 | 89.49 | 0.76 | 89.49 | 0.60 |
| VGG 19 | 89.46 | 0.16 | 89.46 | 0.29 |
| Inception V3 | 89.26 | 0.43 | 88.23 | 0.43 |
| InceptionResNetV2 | 89.35 | 0.26 | 87.59 | 0.59 |
| EfficientNetB3 | 89.49 | 0.43 | 89.21 | 0.46 |
| Hybrid (DenseNet169 + EfficientNetB0) | 89.26 | 0.26 | 89.94 | 0.23 |





