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sugam24/geonusaf-tcsegformer-block-fold2
geonusaf-tcsegformer-block-fold2 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 21, 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 | 2 of 3 |
| seed | 42 |
| best epoch | 92 |
| 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 0.5061 | mF1 0.6518 | OA 0.8618 | kappa 0.6527
| class | IoU | UA (prec) | PA (rec) |
|---|---|---|---|
| Residential | 0.8818 | 0.9059 | 0.9707 |
| Road | 0.4335 | 0.5864 | 0.6244 |
| River | 0.4160 | 0.7295 | 0.4919 |
| Forest | 0.5100 | 0.7458 | 0.6173 |
| UnusedLand | 0.2499 | 0.4646 | 0.3509 |
| Agricultural | 0.5455 | 0.8054 | 0.6283 |