GeoNUSAF TC-SegFormer -- random split, fold 0

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 random (sequence-block CV, export-order proxy)
fold 0 of 3
seed 42
best epoch 119
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

Validation

mIoU 0.5525 | mF1 0.7012 | OA 0.7935 | kappa 0.6922

class IoU UA (prec) PA (rec)
Residential 0.8093 0.9216 0.8692
Road 0.4432 0.5260 0.7380
River 0.4537 0.6009 0.6494
Forest 0.6628 0.7934 0.8011
UnusedLand 0.3947 0.5449 0.5889
Agricultural 0.5512 0.6912 0.7313
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support