| Dataset | Architecture | Optimizer | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|---|---|
| Original | VGG16 | SGD | 33,00% | 11,00% | 33,00% | 17,00% |
| RMSprop | 95,00% | 95,00% | 95,00% | 95,00% | ||
| Adam | 97,00% | 97,00% | 97,00% | 97,00% | ||
| VGG19 | SGD | 37,00% | 45,00% | 37,00% | 23,00% | |
| RMSprop | 77,00% | 79,00% | 77,00% | 76,00% | ||
| Adam | 92,00% | 92,00% | 92,00% | 92,00% | ||
| AlexNet | SGD | 57,00% | 38,00% | 57,00% | 46,00% | |
| RMSprop | 82,00% | 83,00% | 82,00% | 82,00% | ||
| Adam | 63,00% | 44,00% | 63,00% | 51,00% | ||
| ResNet101 | SGD | 47,00% | 31,00% | 47,00% | 36,00% | |
| RMSprop | 43,00% | 67,00% | 43,00% | 34,00% | ||
| Adam | 97,00% | 97,00% | 97,00% | 97,00% | ||
| CLAHE | VGG16 | SGD | 37,00% | 31,00% | 37,00% | 29,00% |
| RMSprop | 70,00% | 73,00% | 70,00% | 70,00% | ||
| Adam | 87,00% | 89,00% | 87,00% | 86,00% | ||
| VGG19 | SGD | 33,00% | 11,00% | 33,00% | 17,00% | |
| RMSprop | 80,00% | 80,00% | 80,00% | 80,00% | ||
| Adam | 95,00% | 95,00% | 95,00% | 95,00% | ||
| AlexNet | SGD | 42,00% | 40,00% | 42,00% | 31,00% | |
| RMSprop | 90,00% | 91,00% | 90,00% | 90,00% | ||
| Adam | 60,00% | 70,00% | 60,00% | 57,00% | ||
| ResNet101 | SGD | 33,00% | 11,00% | 33,00% | 17,00% | |
| RMSprop | 33,00% | 11,00% | 33,00% | 17,00% | ||
| Adam | 33,00% | 11,00% | 33,00% | 17,00% |
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Image classification using CNN with various architectures and optimizers