GeoNUSAF TC-SegFormer -- random split, fold 1

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 1 of 3
seed 42
best epoch 101
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 0.5650 | mF1 0.7119 | OA 0.8121 | kappa 0.6946

class IoU UA (prec) PA (rec)
Residential 0.8437 0.9207 0.9099
Road 0.4261 0.5454 0.6607
River 0.5218 0.6511 0.7243
Forest 0.6332 0.8627 0.7042
UnusedLand 0.4211 0.6019 0.5836
Agricultural 0.5443 0.6637 0.7517
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