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geonusaf-unet-r50-block-fold0
sugam24/geonusaf-unet-r50-block-fold0
geonusaf-unet-r50-block-fold0 is a machine learning model from sugam24. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for segmentation-models-pytorch.
Kathmandu Valley land-use segmentation, 6 classes, ignoreindex=255.
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Public
Updated Aug 16, 2026
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.pt521 MB · 99%
At a glance
- Library
- segmentation-models-pytorch
- Access
- Public
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026
- SHA
- 279906e9
Model card
From the Hugging Face model README
GeoNUSAF - U-Net (ResNet-50) - block split, fold 0
Kathmandu Valley land-use segmentation, 6 classes, ignore_index=255.
| field | value |
|---|---|
| architecture | smp.Unet, encoder resnet50 (ImageNet) |
| split mode | block |
| fold | 0 of 3 |
| seed | 42 |
| input | 512x512, ImageNet norm, effective GSD 0.586 m/px |
| classes | Residential, Road, River, Forest, UnusedLand, Agricultural |
| best epoch | 75 |
| val mIoU | 0.3565 |
| val mF1 | 0.4922 |
| val OA | 0.6293 |
| val kappa | 0.5071 |
Per-class (validation)
| class | IoU | F1 |
|---|---|---|
| Residential | 0.6171 | 0.7632 |
| Road | 0.2081 | 0.3445 |
| River | 0.0845 | 0.1558 |
| Forest | 0.6156 | 0.7621 |
| UnusedLand | 0.2270 | 0.3700 |
| Agricultural | 0.3865 | 0.5576 |
Checkpoint best.pt holds model_state plus cfg and metrics.
- Library
- segmentation-models-pytorch
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026