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geonusaf-s4-tcsegformer-R0-block-fold1
sugam24/geonusaf-s4-tcsegformer-R0-block-fold1
geonusaf-s4-tcsegformer-R0-block-fold1 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.
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Updated Sep 1, 2026
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At a glance
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- 7fc81416
Model card
From the Hugging Face model README
GeoNUSAF Stage 4 - TC-SegFormer - arm R1 - block fold 1
Kathmandu Valley land-use segmentation, 6 classes, ignore_index=255, 512x512.
| field | value |
|---|---|
| arm | R0 (real only) |
| train rows | 804 (804 real + 0 synthetic) |
| synthetic source | sugam24/geonusaf-stage3-fakepairs-block-fold1, fake_pairs_R1 |
| split | block fold 1, train_sha1 eb0aebdd9919 |
| backbone | nvidia/segformer-b0-finetuned-ade-512-512 |
| detail path | True (ch=[8, 16, 32], fuse=64) |
| CSA | True (tau=[0.6, 0.35, 0.35, 0.6, 0.6, 0.6], w_min=0.25, on_fake=True) |
| soft-clDice | True (mu=0.3 from step 1000) |
| balanced sampler | True (cap 8.0, freq from real) |
| schedule | 6000 steps, warmup 150, cosine 6000 |
| class weights | from real |
| seed | 42 |
| best step | 6000 |
| val mIoU | 0.5608 |
| val mF1 | 0.7001 |
| val OA | 0.8293 |
| val kappa | 0.6931 |
Per-class (validation, 136 real fold-1 tiles)
| class | IoU | UA (prec) | PA (rec) |
|---|---|---|---|
| Residential | 0.8456 | 0.9401 | 0.8938 |
| Road | 0.4279 | 0.5276 | 0.6936 |
| River | 0.4761 | 0.6154 | 0.6778 |
| Forest | 0.7462 | 0.8919 | 0.8204 |
| UnusedLand | 0.2966 | 0.5979 | 0.3704 |
| Agricultural | 0.5722 | 0.6214 | 0.8784 |
Validation contains no synthetic pixels in either arm.
Not comparable to the part-1 fold-1 run: that one used a 260-tile train split, had frozen augmentation (the persistent_workers bug), determinism on, and an epoch-based schedule.
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026