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sugam24/geonusaf-tcsegformer-block-fold1-no_csa
geonusaf-tcsegformer-block-fold1-no_csa 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 23, 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 | 1 of 3 |
| ablation | no_csa |
| seed | 42 |
| best epoch | 99 |
| detail path | True |
| CSA reweighting | False (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 0.5564 | mF1 0.6985 | OA 0.8260 | kappa 0.6891
| class | IoU | UA (prec) | PA (rec) |
|---|---|---|---|
| Residential | 0.8430 | 0.9441 | 0.8873 |
| Road | 0.4395 | 0.5270 | 0.7259 |
| River | 0.4729 | 0.6709 | 0.6157 |
| Forest | 0.6996 | 0.9085 | 0.7527 |
| UnusedLand | 0.3055 | 0.5572 | 0.4034 |
| Agricultural | 0.5777 | 0.6217 | 0.8909 |