| Benchmark | Model | Rank | Results |
|---|---|---|---|
| remote-sensing-image-classification-on-firerisk | ResNet-50 | #1 | Accuracy (%): 63.20 |
| remote-sensing-image-classification-on-firerisk | ViT-B/16 | #2 | Accuracy (%): 63.31 |
| remote-sensing-image-classification-on-firerisk | DINO (ViT-B/16) | #3 | Accuracy (%): 63.36 |
| remote-sensing-image-classification-on-firerisk | MAE (ViT-B/16) | #4 | Accuracy (%): 65.29 |