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sugam24/geonusaf-tcsegformer-block-fold1-no_sampler
geonusaf-tcsegformer-block-fold1-no_sampler 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_sampler |
| seed | 42 |
| best epoch | 79 |
| 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 | False |
mIoU 0.5509 | mF1 0.6919 | OA 0.8255 | kappa 0.6846
| class | IoU | UA (prec) | PA (rec) |
|---|---|---|---|
| Residential | 0.8471 | 0.9369 | 0.8983 |
| Road | 0.4307 | 0.5087 | 0.7376 |
| River | 0.4776 | 0.6874 | 0.6102 |
| Forest | 0.7031 | 0.9276 | 0.7440 |
| UnusedLand | 0.2769 | 0.5528 | 0.3568 |
| Agricultural | 0.5703 | 0.6210 | 0.8749 |