Segmentation on m-nz-cattle
83.04Mean IoUDeCUR-Resnet50
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DeCUR-Resnet50model=DeCUR-Resnet502024.12 | 83.04 | 17 | 83.38 | 82.78 | |
| DINO-Resnet50model=DINO-Resnet502024.12 | 82.89 | 30 | 83.27 | 82.29 | |
| Satlas-Swin-100Mmodel=Satlas-Swin-100M2024.12 | 81.79 | 15 | 81.97 | 81.59 | |
| MOCO-Resnet50model=MOCO-Resnet502024.12 | 81.54 | 53 | 82.11 | 80.26 | |
| Prithvi-EO-2.0-600Mmodel=Prithvi-EO-2.0-600M2024.12 | 81.05 | 12 | 81.26 | 80.77 | |
| Prithvi-EO-2.0-600M-TLmodel=Prithvi-EO-2.0-600M-TL2024.12 | 80.79 | 13 | 81.01 | 80.59 | |
| Prithvi-EO-2.0-300Mmodel=Prithvi-EO-2.0-300M2024.12 | 77.87 | 17 | 78.11 | 77.58 | |
| Prithvi-EO-2.0-300M-TLmodel=Prithvi-EO-2.0-300M-TL2024.12 | 77.47 | 34 | 77.91 | 76.78 | |
| DOFA-ViT-300Mmodel=DOFA-ViT-300M2024.12 | 77.44 | 40 | 78.22 | 76.81 | |
| Prithvi-EO-2.0-100M-TLmodel=Prithvi-EO-2.0-100M-TL2024.12 | 77.32 | 22 | 77.73 | 76.97 | |
| Prithvi-EO-2.0-100Mmodel=Prithvi-EO-2.0-100M2024.12 | 77.21 | 30 | 77.64 | 76.62 | |
| ScaleMAE-ViT-300Mmodel=ScaleMAE-ViT-300M2024.12 | 73.71 | 876 | 77.01 | 48.82 | |
| Prithvi-EO-1.0-100Mmodel=Prithvi-EO-1.0-100M2024.12 | 73.64 | 43 | 74.61 | 72.97 |