Table 4.
Cross-dataset evaluation showing generalization of the proposed models on an external public dataset.
| Model | Dataset | Accuracy (%) | F1-Score (%) | Recall (%) |
|---|---|---|---|---|
| Att-MobileNetV2 | Custom (this study) | 99.61 | 99.70 | 99.19 |
| MobileNetV2-TL | Custom (this study) | 98.42 | 98.43 | 99.47 |
| Att-MobileNetV2 | Kaggle Forest Fire28 | 98.93 | 98.88 | 99.05 |
| MobileNetV2-TL | Kaggle Forest Fire28 | 97.86 | 97.74 | 98.21 |
| EfficientNet-B0 | Kaggle Forest Fire28 | 98.54 | 98.33 | 98.77 |
| DenseNet-121 | Kaggle Forest Fire28 | 98.25 | 98.08 | 98.46 |
| ViT (Tiny/16) | Kaggle Forest Fire28 | 97.91 | 97.62 | 98.19 |