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sugam24/geonusaf-tcsegformer-block-fold0
geonusaf-tcsegformer-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.
Kathmandu Valley land-use segmentation, 6 classes, ignoreindex=255, 512x512 @ 0.586 m/px.
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Updated Aug 20, 2026
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From the Hugging Face model README
Kathmandu Valley land-use segmentation, 6 classes, ignore_index=255, 512x512 @ 0.586 m/px.
| backbone | nvidia/segformer-b0-finetuned-ade-512-512 |
| split mode | block (sequence-block CV, export-order proxy) |
| fold | 0 of 3 |
| seed | 42 |
| best epoch | 95 |
| detail path | True |
| CSA reweighting | True (tau=[0.6, 0.35, 0.35, 0.6, 0.6, 0.6], w_min=0.25) |
| soft-clDice | True (mu=0.3) |
| balanced sampler | True |
mIoU 0.3403 | mF1 0.4773 | OA 0.6186 | kappa 0.4957
| class | IoU | UA (prec) | PA (rec) |
|---|---|---|---|
| Residential | 0.5827 | 0.9125 | 0.6172 |
| Road | 0.2092 | 0.3430 | 0.3490 |
| River | 0.0949 | 0.1196 | 0.3142 |
| Forest | 0.5563 | 0.5712 | 0.9553 |
| UnusedLand | 0.1755 | 0.5417 | 0.2061 |
| Agricultural | 0.4231 | 0.5121 | 0.7087 |