GeoNUSAF TC-SegFormer -- random split, fold 2

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 2 of 3
seed 42
best epoch 110
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 0.5717 | mF1 0.7138 | OA 0.8189 | kappa 0.6937

class IoU UA (prec) PA (rec)
Residential 0.8531 0.9237 0.9178
Road 0.4161 0.5516 0.6287
River 0.5710 0.7013 0.7545
Forest 0.7110 0.7831 0.8855
UnusedLand 0.3776 0.5406 0.5559
Agricultural 0.5016 0.6962 0.6422
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