segformer-b0-finetuned-segments-sidewalk-oct-22

FASTTechnolagy21/segformer-b0-finetuned-segments-sidewalk-oct-22

segformer-b0-finetuned-segments-sidewalk-oct-22 is a image segmentation model from FASTTechnolagy21. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Segmentation
Library: transformers
License: other
Model type: segformer
Access: Public
Created: Nov 12, 2025
Updated: Nov 19, 2025
SHA: 1b88fccb

Base models

nvidia/mit-b0

Model card

From the Hugging Face model README

segformer-b0-finetuned-segments-sidewalk-oct-22

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

Loss: 0.5377
Mean Iou: 0.3294
Mean Accuracy: 0.3894
Overall Accuracy: 0.8744
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.8672
Accuracy Flat-sidewalk: 0.9561
Accuracy Flat-crosswalk: 0.5443
Accuracy Flat-cyclinglane: 0.8825
Accuracy Flat-parkingdriveway: 0.4764
Accuracy Flat-railtrack: nan
Accuracy Flat-curb: 0.6080
Accuracy Human-person: 0.7587
Accuracy Human-rider: 0.0003
Accuracy Vehicle-car: 0.9520
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.7720
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8864
Accuracy Construction-door: 0.1448
Accuracy Construction-wall: 0.6117
Accuracy Construction-fenceguardrail: 0.5498
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: 0.0
Accuracy Construction-stairs: 0.0184
Accuracy Object-pole: 0.3720
Accuracy Object-trafficsign: 0.1393
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9420
Accuracy Nature-terrain: 0.8943
Accuracy Sky: 0.9742
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.1035
Accuracy Void-static: 0.3968
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.7609
Iou Flat-sidewalk: 0.8785
Iou Flat-crosswalk: 0.4685
Iou Flat-cyclinglane: 0.7951
Iou Flat-parkingdriveway: 0.3832
Iou Flat-railtrack: nan
Iou Flat-curb: 0.4872
Iou Human-person: 0.5666
Iou Human-rider: 0.0003
Iou Vehicle-car: 0.8463
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.4886
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.7428
Iou Construction-door: 0.1408
Iou Construction-wall: 0.4935
Iou Construction-fenceguardrail: 0.4584
Iou Construction-bridge: 0.0
Iou Construction-tunnel: 0.0
Iou Construction-stairs: 0.0182
Iou Object-pole: 0.2924
Iou Object-trafficsign: 0.1316
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8752
Iou Nature-terrain: 0.7532
Iou Sky: 0.9292
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0875
Iou Void-static: 0.2718
Iou Void-unclear: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 6e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Flat-road	Accuracy Flat-sidewalk	Accuracy Flat-cyclinglane	Accuracy Flat-parkingdriveway	Accuracy Flat-railtrack	Accuracy Flat-curb	Accuracy Human-person	Accuracy Vehicle-car	Accuracy Vehicle-truck	Accuracy Vehicle-bus	Accuracy Vehicle-motorcycle	Accuracy Construction-building	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-bridge	Accuracy Construction-stairs	Accuracy Object-pole	Accuracy Object-trafficsign	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-dynamic	Accuracy Void-static	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-railtrack	Iou Flat-curb	Iou Human-person	Iou Vehicle-car	Iou Vehicle-truck	Iou Vehicle-bus	Iou Vehicle-motorcycle	Iou Construction-building	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-bridge	Iou Construction-stairs	Iou Object-pole	Iou Object-trafficsign	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-dynamic	Iou Void-static
3.1589	0.05	20	3.2555	0.0808	0.1366	0.5676	nan	0.0894	0.9475	0.0535	0.0471	nan	0.0058	0.0158	0.8346	0.0122	0.0007	0.0030	0.2502	0.0093	0.0	0.0142	0.0003	0.0019	0.0091	0.8382	0.1789	0.7835	0.4107	0.0029	0.0	0.0860	0.6144	0.0436	0.0236	0.0	0.0049	0.0156	0.4141	0.0017	0.0001	0.0001	0.2244	0.0091	0.0	0.0004	0.0002	0.0018	0.0015	0.6606	0.1510	0.5593	0.0120	0.0025
2.8272	0.1	40	2.5988	0.0931	0.1466	0.6408	nan	0.4778	0.9158	0.0274	0.0453	nan	0.0045	0.0001	0.9189	0.0	0.0	0.0	0.5943	0.0173	0.0	0.0	0.0	0.0004	0.0	0.9661	0.0382	0.7900	0.0378	0.0047	0.0	0.3290	0.6880	0.0257	0.0349	0.0	0.0043	0.0001	0.4562	0.0	0.0	0.0	0.4456	0.0170	0.0	0.0	0.0	0.0004	0.0	0.6088	0.0355	0.5967	0.0133	0.0042
2.7516	0.15	60	2.0579	0.1064	0.1570	0.6708	nan	0.5647	0.9382	0.0046	0.0055	nan	0.0023	0.0	0.9423	0.0	0.0	0.0	0.6763	0.0218	0.0	0.0	0.0	0.0	0.0	0.9494	0.2110	0.8658	0.0	0.0006	0.0	0.3603	0.7115	0.0046	0.0053	nan	0.0023	0.0	0.4596	0.0	0.0	0.0	0.4736	0.0216	0.0	0.0	0.0	0.0	0.0	0.6733	0.1825	0.7238	0.0	0.0006
2.1716	0.2	80	1.8967	0.1111	0.1584	0.6761	nan	0.6400	0.9161	0.0038	0.0019	nan	0.0019	0.0	0.9137	0.0	0.0	0.0	0.7743	0.0064	0.0	0.0	0.0	0.0	0.0	0.9613	0.1430	0.8650	0.0	0.0001	nan	0.3665	0.7346	0.0038	0.0018	nan	0.0019	0.0	0.5048	0.0	0.0	0.0	0.5011	0.0063	0.0	0.0	0.0	0.0	0.0	0.6669	0.1264	0.7505	0.0	0.0001
2.0337	0.25	100	1.7327	0.1278	0.1748	0.7052	nan	0.7184	0.9325	0.0003	0.0001	nan	0.0002	0.0	0.9096	0.0	0.0	0.0	0.7799	0.0020	0.0	0.0	0.0	0.0	0.0	0.9142	0.6221	0.8874	0.0	0.0000	nan	0.3939	0.7475	0.0003	0.0001	nan	0.0002	0.0	0.5720	0.0	0.0	0.0	0.5128	0.0020	0.0	0.0	0.0	0.0	0.0	0.7426	0.4596	0.7847	0.0	0.0000
1.822	0.3	120	1.6091	0.1254	0.1690	0.7016	nan	0.6343	0.9514	0.0030	0.0021	nan	0.0000	0.0	0.8825	0.0	0.0	0.0	0.8076	0.0008	0.0	0.0	0.0	0.0	0.0	0.9441	0.4522	0.8982	0.0	0.0	nan	0.3909	0.7269	0.0030	0.0021	nan	0.0000	0.0	0.6099	0.0	0.0	0.0	0.5121	0.0008	0.0	0.0	0.0	0.0	0.0	0.7290	0.3679	0.7951	0.0	0.0
1.6747	0.35	140	1.5569	0.1315	0.1798	0.7116	nan	0.7579	0.9252	0.0071	0.0007	nan	0.0002	0.0	0.9144	0.0	0.0	0.0	0.8499	0.0	0.0	0.0	0.0	0.0	0.0	0.8810	0.7137	0.8834	0.0	0.0	nan	0.4095	0.7537	0.0071	0.0007	nan	0.0002	0.0	0.5569	0.0	0.0	0.0	0.5141	0.0	0.0	0.0	0.0	0.0	0.0	0.7678	0.5290	0.8015	0.0	0.0
1.6973	0.4	160	1.4707	0.1329	0.1806	0.7110	nan	0.8453	0.8829	0.0098	0.0005	nan	0.0001	0.0	0.8790	0.0	0.0	0.0	0.8483	0.0	0.0	0.0	0.0	0.0	0.0	0.9262	0.6670	0.9017	0.0	0.0	nan	0.4016	0.7623	0.0098	0.0005	nan	0.0001	0.0	0.5963	0.0	0.0	0.0	0.5223	0.0	0.0	0.0	0.0	0.0	0.0	0.7668	0.5316	0.7956	0.0	0.0
2.5665	0.45	180	1.3116	0.1361	0.1831	0.7200	nan	0.8072	0.9070	0.0463	0.0001	nan	0.0000	0.0	0.9047	0.0	0.0	0.0	0.8398	0.0012	0.0	0.0	0.0	0.0	0.0	0.9291	0.7051	0.9007	0.0	0.0	nan	0.4062	0.7721	0.0462	0.0001	nan	0.0000	0.0	0.6134	0.0	0.0	0.0	0.5373	0.0012	0.0	0.0	0.0	0.0	0.0	0.7643	0.5449	0.8061	0.0	0.0
1.5414	0.5	200	1.2856	0.1375	0.1849	0.7252	nan	0.8500	0.9124	0.0347	0.0001	nan	0.0	0.0	0.8876	0.0	0.0	0.0	0.8244	0.0000	0.0	0.0	0.0	0.0	0.0	0.9210	0.7567	0.9138	0.0	0.0	nan	0.4236	0.7838	0.0346	0.0001	nan	0.0	0.0	0.6320	0.0	0.0	0.0	0.5393	0.0000	0.0	0.0	0.0	0.0	0.0	0.7641	0.5579	0.8034	0.0	0.0
1.4118	0.55	220	1.2256	0.1400	0.1861	0.7321	nan	0.7872	0.9368	0.1241	0.0010	nan	0.0001	0.0	0.8942	0.0	0.0	0.0	0.8275	0.0006	0.0	0.0	0.0	0.0	0.0	0.9226	0.7405	0.9073	0.0	0.0	nan	0.4435	0.7747	0.1231	0.0010	nan	0.0001	0.0	0.6098	0.0	0.0	0.0	0.5493	0.0006	0.0	0.0	0.0	0.0	0.0	0.7584	0.5483	0.8111	0.0	0.0
1.5277	0.6	240	1.2266	0.1383	0.1835	0.7240	nan	0.8023	0.9071	0.0616	0.0028	nan	0.0000	0.0	0.8577	0.0	0.0	0.0	0.8632	0.0000	0.0	0.0	0.0	0.0	0.0	0.9492	0.7013	0.9097	0.0	0.0	nan	0.4175	0.7726	0.0600	0.0028	nan	0.0000	0.0	0.6549	0.0	0.0	0.0	0.5326	0.0000	0.0	0.0	0.0	0.0	0.0	0.7658	0.5442	0.8144	0.0	0.0
1.9934	0.65	260	1.1637	0.1482	0.1932	0.7454	nan	0.8066	0.9172	0.4036	0.0026	nan	0.0000	0.0	0.9292	0.0	0.0	0.0	0.8225	0.0003	0.0	0.0	0.0	0.0	0.0	0.9539	0.6189	0.9197	0.0	0.0	nan	0.4651	0.7839	0.3853	0.0026	nan	0.0000	0.0	0.6101	0.0	0.0	0.0	0.5517	0.0003	0.0	0.0	0.0	0.0	0.0	0.7529	0.5296	0.8102	0.0	0.0
1.4308	0.7	280	1.1152	0.1568	0.2020	0.7610	nan	0.7817	0.9468	0.5506	0.0024	nan	0.0001	0.0	0.9127	0.0	0.0	0.0	0.8705	0.0000	0.0	0.0	0.0	0.0	0.0	0.8778	0.8303	0.8925	0.0	0.0	nan	0.5275	0.7812	0.5136	0.0024	nan	0.0001	0.0	0.6498	0.0	0.0	0.0	0.5475	0.0000	0.0	0.0	0.0	0.0	0.0	0.7704	0.5582	0.8238	0.0	0.0
1.9415	0.75	300	1.1153	0.1562	0.2003	0.7628	nan	0.7121	0.9588	0.5657	0.0157	nan	0.0001	0.0	0.9279	0.0	0.0	0.0	0.8331	0.0000	0.0	0.0	0.0	0.0	0.0	0.9313	0.7456	0.9207	0.0	0.0	nan	0.5527	0.7701	0.5278	0.0155	nan	0.0001	0.0	0.5880	0.0	0.0	0.0	0.5562	0.0000	0.0	0.0	0.0	0.0	0.0	0.7650	0.5635	0.8150	0.0	0.0
1.6722	0.8	320	1.0419	0.1580	0.2000	0.7648	nan	0.8302	0.9301	0.5605	0.0084	nan	0.0001	0.0	0.8804	0.0	0.0	0.0	0.8825	0.0	0.0	0.0	0.0	0.0	0.0	0.9485	0.6471	0.9129	0.0	0.0	nan	0.5121	0.8036	0.5337	0.0083	nan	0.0001	0.0	0.6760	0.0	0.0	0.0	0.5432	0.0	0.0	0.0	0.0	0.0	0.0	0.7672	0.5477	0.8212	0.0	0.0
1.6299	0.85	340	1.0317	0.1596	0.2031	0.7650	nan	0.7268	0.9668	0.5589	0.0167	nan	0.0001	0.0	0.9263	0.0	0.0	0.0	0.8687	0.0001	0.0	0.0	0.0	0.0	0.0	0.8775	0.8304	0.9315	0.0	0.0	nan	0.5418	0.7642	0.5329	0.0165	nan	0.0001	0.0	0.6599	0.0	0.0	0.0	0.5514	0.0001	0.0	0.0	0.0	0.0	0.0	0.7795	0.6005	0.8200	0.0	0.0
1.4105	0.9	360	1.0209	0.1572	0.2038	0.7613	nan	0.7867	0.9597	0.5900	0.0045	nan	0.0000	0.0	0.9238	0.0	0.0	0.0	0.8622	0.0001	0.0	0.0	0.0	0.0	0.0	0.8223	0.8509	0.9264	0.0	0.0	nan	0.5499	0.7800	0.5614	0.0045	nan	0.0000	0.0	0.6418	0.0	0.0	0.0	0.5648	0.0001	0.0	0.0	0.0	0.0	0.0	0.7398	0.5210	0.8236	0.0	0.0
1.2816	0.95	380	1.0113	0.1601	0.2012	0.7696	nan	0.7413	0.9621	0.6216	0.0094	nan	0.0001	0.0	0.9310	0.0	0.0	0.0	0.8392	0.0001	0.0	0.0	0.0	0.0	0.0	0.9458	0.6796	0.9083	0.0	0.0	nan	0.5405	0.7776	0.5808	0.0093	nan	0.0001	0.0	0.6432	0.0	0.0	0.0	0.5669	0.0001	0.0	0.0	0.0	0.0	0.0	0.7696	0.5776	0.8183	0.0	0.0
0.8438	1.0	400	0.9901	0.1637	0.2096	0.7671	nan	0.8702	0.8827	0.7250	0.0047	nan	0.0	0.0	0.9058	0.0	0.0	0.0	0.8524	0.0000	0.0	0.0	0.0	0.0	0.0	0.9308	0.8244	0.9217	0.0	0.0	nan	0.4907	0.7931	0.5975	0.0047	nan	0.0	0.0	0.6885	0.0	0.0	0.0	0.5704	0.0000	0.0	0.0	0.0	0.0	0.0	0.7795	0.6494	0.8274	0.0	0.0
0.983	1.05	420	0.9516	0.1636	0.2061	0.7757	nan	0.7493	0.9623	0.6002	0.0196	nan	0.0002	0.0	0.9293	0.0	0.0	0.0	0.8481	0.0000	0.0	0.0	0.0	0.0	0.0	0.9308	0.8424	0.9191	0.0	0.0	nan	0.5649	0.7805	0.5729	0.0194	nan	0.0002	0.0	0.6354	0.0	0.0	0.0	0.5724	0.0000	0.0	0.0	0.0	0.0	0.0	0.7791	0.6406	0.8331	0.0	0.0
1.1643	1.1	440	0.9224	0.1655	0.2093	0.7758	nan	0.8617	0.9280	0.6357	0.0110	nan	0.0017	0.0	0.8881	0.0	0.0	0.0	0.8762	0.0005	0.0	0.0	0.0	0.0	0.0	0.9063	0.8680	0.9295	0.0	0.0	nan	0.5218	0.8046	0.5893	0.0109	nan	0.0017	0.0	0.7066	0.0	0.0	0.0	0.5776	0.0005	0.0	0.0	0.0	0.0	0.0	0.7867	0.6206	0.8416	0.0	0.0
0.7071	1.15	460	0.9178	0.1654	0.2096	0.7778	nan	0.8103	0.9283	0.6934	0.0199	nan	0.0022	0.0	0.9373	0.0	0.0	0.0	0.8870	0.0003	0.0	0.0	0.0	0.0	0.0	0.9359	0.7908	0.9124	0.0	0.0	nan	0.5305	0.8075	0.5979	0.0196	nan	0.0022	0.0	0.6345	0.0	0.0	0.0	0.5705	0.0003	0.0	0.0	0.0	0.0	0.0	0.7926	0.6467	0.8547	0.0	0.0
1.7805	1.2	480	0.9013	0.1640	0.2083	0.7728	nan	0.8079	0.9204	0.6844	0.0226	nan	0.0043	0.0	0.9098	0.0	0.0	0.0	0.8542	0.0005	0.0	0.0	0.0	0.0	0.0	0.9431	0.7878	0.9374	0.0	0.0	nan	0.5165	0.7999	0.5560	0.0222	nan	0.0043	0.0	0.6719	0.0	0.0	0.0	0.5675	0.0005	0.0	0.0	0.0	0.0	0.0	0.7816	0.6599	0.8307	0.0	0.0
0.7668	1.25	500	0.8771	0.1703	0.2085	0.7832	nan	0.7403	0.9724	0.6173	0.0594	nan	0.0135	0.0	0.8945	0.0	0.0	0.0	0.9033	0.0010	0.0	0.0	0.0	0.0000	0.0	0.9343	0.8188	0.9244	0.0	0.0	nan	0.5838	0.7778	0.5781	0.0564	nan	0.0132	0.0	0.7127	0.0	0.0	0.0	0.5693	0.0010	0.0	0.0	0.0	0.0000	0.0	0.8017	0.6640	0.8616	0.0	0.0
1.1596	1.3	520	0.8913	0.1675	0.2132	0.7793	nan	0.8208	0.9332	0.6530	0.0684	nan	0.0158	0.0	0.9462	0.0	0.0	0.0	0.8462	0.0032	0.0	0.0	0.0	0.0000	0.0	0.9156	0.8938	0.9384	0.0	0.0	nan	0.5306	0.8052	0.6096	0.0636	nan	0.0153	0.0	0.6058	0.0	0.0	0.0	0.5920	0.0032	0.0	0.0	0.0	0.0000	0.0	0.7974	0.6442	0.8614	0.0	0.0
0.8224	1.35	540	0.8646	0.1715	0.2133	0.7855	nan	0.7927	0.9516	0.6681	0.0613	nan	0.0570	0.0	0.9184	0.0	0.0	0.0	0.9007	0.0051	0.0	0.0	0.0	0.0000	0.0	0.9260	0.8152	0.9427	0.0	0.0	nan	0.5584	0.8034	0.6125	0.0582	nan	0.0549	0.0	0.6887	0.0	0.0	0.0	0.5699	0.0051	0.0	0.0	0.0	0.0000	0.0	0.8056	0.6444	0.8581	0.0	0.0
0.9383	1.4	560	0.8686	0.1708	0.2082	0.7815	nan	0.7490	0.9591	0.6825	0.0884	nan	0.0542	0.0	0.8533	0.0	0.0	0.0	0.8755	0.0039	0.0	0.0	0.0	0.0002	0.0	0.9660	0.7040	0.9340	0.0	0.0	nan	0.5805	0.7925	0.6199	0.0831	nan	0.0517	0.0	0.7207	0.0	0.0	0.0	0.5730	0.0039	0.0	0.0	0.0	0.0002	0.0	0.7507	0.5987	0.8629	0.0	0.0
0.9585	1.45	580	0.8521	0.1739	0.2190	0.7837	nan	0.7843	0.9460	0.6983	0.1312	nan	0.0794	0.0	0.9278	0.0	0.0	0.0	0.9093	0.0334	0.0	0.0	0.0	0.0011	0.0	0.8720	0.9212	0.9241	0.0	0.0	nan	0.5698	0.8086	0.6435	0.1163	nan	0.0758	0.0	0.6859	0.0	0.0	0.0	0.5842	0.0328	0.0	0.0	0.0	0.0011	0.0	0.7739	0.5806	0.8654	0.0	0.0
1.3313	1.5	600	0.8305	0.1802	0.2214	0.7908	nan	0.7522	0.9380	0.7997	0.1591	nan	0.1201	0.0	0.8768	0.0	0.0	0.0	0.8670	0.0806	0.0	0.0	0.0	0.0047	0.0	0.9606	0.8110	0.9378	0.0	0.0	nan	0.5678	0.8130	0.6251	0.1413	nan	0.1121	0.0	0.7334	0.0	0.0	0.0	0.5962	0.0767	0.0	0.0	0.0	0.0047	0.0	0.7681	0.6483	0.8598	0.0	0.0
1.2136	1.55	620	0.8080	0.1777	0.2219	0.7894	nan	0.7226	0.9489	0.7813	0.2001	nan	0.1185	0.0	0.9245	0.0	0.0	0.0	0.8665	0.0303	0.0000	0.0	0.0	0.0008	0.0	0.9292	0.8517	0.9476	0.0	0.0001	nan	0.5485	0.8137	0.6160	0.1630	nan	0.1092	0.0	0.7047	0.0	0.0	0.0	0.5850	0.0297	0.0000	0.0	0.0	0.0008	0.0	0.7991	0.6566	0.8364	0.0	0.0001
0.5653	1.6	640	0.8095	0.1784	0.2191	0.7907	nan	0.8048	0.9436	0.7009	0.1279	nan	0.1427	0.0	0.9227	0.0	0.0	0.0	0.9241	0.0021	0.0	0.0	0.0	0.0010	0.0	0.9289	0.8126	0.9180	0.0	0.0000	nan	0.5681	0.8084	0.6385	0.1144	nan	0.1292	0.0	0.6862	0.0	0.0	0.0	0.5651	0.0021	0.0	0.0	0.0	0.0010	0.0	0.8143	0.6870	0.8732	0.0	0.0000
0.6801	1.65	660	0.8226	0.1771	0.2191	0.7850	nan	0.6634	0.9625	0.7618	0.1164	nan	0.1620	0.0	0.9124	0.0	0.0	0.0	0.8596	0.0222	0.0002	0.0	0.0	0.0025	0.0	0.9228	0.8965	0.9474	0.0	0.0007	nan	0.5514	0.7857	0.6426	0.0991	nan	0.1404	0.0	0.7108	0.0	0.0	0.0	0.5957	0.0219	0.0002	0.0	0.0	0.0025	0.0	0.7804	0.6461	0.8668	0.0	0.0007
0.8248	1.7	680	0.7985	0.1797	0.2198	0.7905	nan	0.7276	0.9634	0.6898	0.1545	nan	0.1265	0.0	0.9296	0.0	0.0	0.0	0.8965	0.0378	0.0	0.0	0.0	0.0037	0.0	0.9262	0.8465	0.9528	0.0	0.0002	nan	0.5653	0.7908	0.6307	0.1308	nan	0.1127	0.0	0.6946	0.0	0.0	0.0	0.5893	0.0369	0.0	0.0	0.0	0.0037	0.0	0.8117	0.6928	0.8718	0.0	0.0002
0.6291	1.75	700	0.8113	0.1813	0.2236	0.7883	nan	0.8262	0.9221	0.6736	0.2317	nan	0.1824	0.0	0.9256	0.0	0.0	0.0	0.8798	0.0415	0.0	0.0	0.0	0.0013	0.0	0.9450	0.8209	0.9296	0.0	0.0000	nan	0.5439	0.8142	0.6158	0.1859	nan	0.1519	0.0	0.6878	0.0	0.0	0.0	0.5919	0.0399	0.0	0.0	0.0	0.0013	0.0	0.7928	0.6901	0.8662	0.0	0.0000
0.7576	1.8	720	0.7753	0.1899	0.2289	0.7958	nan	0.7058	0.9606	0.7198	0.2304	nan	0.2835	0.0	0.8993	0.0	0.0	0.0	0.8665	0.1986	0.0	0.0	0.0	0.0061	0.0	0.9631	0.7793	0.9411	0.0	0.0006	nan	0.5996	0.8008	0.6377	0.1754	nan	0.2327	0.0	0.7320	0.0	0.0	0.0	0.6134	0.1776	0.0	0.0	0.0	0.0061	0.0	0.7719	0.6475	0.8712	0.0	0.0006
0.7558	1.85	740	0.7689	0.1884	0.2326	0.7973	nan	0.8312	0.9290	0.7210	0.2131	nan	0.1723	0.0	0.9080	0.0	0.0	0.0	0.8920	0.2298	0.0	0.0	0.0	0.0096	0.0	0.9173	0.9095	0.9423	0.0	0.0006	nan	0.5768	0.8208	0.6263	0.1821	nan	0.1570	0.0	0.7228	0.0	0.0	0.0	0.5980	0.2003	0.0	0.0	0.0	0.0096	0.0	0.8074	0.6571	0.8567	0.0	0.0006
1.0619	1.9	760	0.7500	0.1892	0.2312	0.7985	nan	0.7649	0.9530	0.6726	0.2168	nan	0.2626	0.0	0.9321	0.0	0.0	0.0	0.9097	0.2095	0.0	0.0	0.0	0.0036	0.0	0.9351	0.8485	0.9207	0.0	0.0	nan	0.5973	0.8137	0.6263	0.1784	nan	0.2031	0.0	0.6918	0.0	0.0	0.0	0.5843	0.1773	0.0	0.0	0.0	0.0035	0.0	0.8200	0.6860	0.8607	0.0	0.0
1.4248	1.95	780	0.7383	0.1930	0.2363	0.8031	nan	0.7929	0.9488	0.7303	0.2523	nan	0.3569	0.0	0.9269	0.0	0.0	0.0	0.8623	0.2284	0.0	0.0	0.0	0.0023	0.0	0.9450	0.8139	0.9381	0.0	0.0001	nan	0.6109	0.8267	0.6423	0.1936	nan	0.2753	0.0	0.7016	0.0	0.0	0.0	0.6049	0.1927	0.0	0.0	0.0	0.0023	0.0	0.8034	0.6624	0.8520	0.0	0.0001
1.1386	2.0	800	0.7390	0.1952	0.2406	0.8017	nan	0.6887	0.9460	0.8083	0.3035	nan	0.2694	0.0	0.9002	0.0	0.0	0.0	0.8985	0.4202	0.0	0.0	0.0	0.0032	0.0	0.9452	0.8259	0.9292	0.0	0.0000	nan	0.5698	0.8267	0.5922	0.2294	nan	0.2151	0.0	0.7392	0.0	0.0	0.0	0.6281	0.2988	0.0	0.0	0.0	0.0032	0.0	0.8129	0.6559	0.8716	0.0	0.0000
0.8335	2.05	820	0.7637	0.1940	0.2406	0.7966	nan	0.8665	0.9202	0.6069	0.2773	nan	0.2613	0.0	0.9420	0.0	0.0	0.0	0.8801	0.4344	0.0	0.0	0.0	0.0024	0.0	0.9080	0.8945	0.9456	0.0	0.0	nan	0.5603	0.8169	0.5758	0.2213	nan	0.2142	0.0	0.6919	0.0	0.0	0.0	0.6478	0.3277	0.0	0.0	0.0	0.0024	0.0	0.8073	0.6566	0.8801	0.0	0.0
0.7438	2.1	840	0.7378	0.1951	0.2365	0.8025	nan	0.7099	0.9560	0.7590	0.2549	nan	0.2752	0.0	0.9279	0.0	0.0	0.0	0.8921	0.3359	0.0	0.0	0.0	0.0098	0.0	0.9557	0.7777	0.9519	0.0	0.0	nan	0.5861	0.8127	0.6458	0.1998	nan	0.2274	0.0	0.7253	0.0	0.0	0.0	0.6212	0.2829	0.0	0.0	0.0	0.0098	0.0	0.8023	0.6484	0.8770	0.0	0.0
0.9965	2.15	860	0.7445	0.1995	0.2438	0.8021	nan	0.6712	0.9503	0.7876	0.3123	nan	0.3769	0.0	0.9011	0.0	0.0	0.0	0.8800	0.3730	0.0000	0.0	0.0	0.0197	0.0	0.9363	0.8832	0.9520	0.0	0.0016	nan	0.5644	0.8108	0.6516	0.2135	nan	0.2840	0.0	0.7563	0.0	0.0	0.0	0.6311	0.2964	0.0000	0.0	0.0	0.0193	0.0	0.8051	0.6768	0.8723	0.0	0.0015
0.6549	2.2	880	0.7228	0.1961	0.2352	0.8042	nan	0.7771	0.9541	0.7106	0.2183	nan	0.2920	0.0	0.9198	0.0	0.0	0.0	0.8898	0.3004	0.0	0.0	0.0	0.0173	0.0	0.9566	0.8001	0.9250	0.0	0.0005	nan	0.5790	0.8149	0.6522	0.1794	nan	0.2434	0.0	0.7408	0.0	0.0	0.0	0.6355	0.2509	0.0	0.0	0.0	0.0171	0.0	0.8037	0.6748	0.8795	0.0	0.0005
0.7356	2.25	900	0.7195	0.1973	0.2430	0.8049	nan	0.7813	0.9387	0.6950	0.3456	nan	0.3705	0.0	0.9462	0.0	0.0	0.0	0.8750	0.2802	0.0001	0.0	0.0	0.0179	0.0	0.9419	0.8806	0.9436	0.0	0.0013	nan	0.5944	0.8282	0.6523	0.2461	nan	0.2908	0.0	0.6693	0.0	0.0	0.0	0.6264	0.2297	0.0001	0.0	0.0	0.0177	0.0	0.8109	0.6605	0.8847	0.0	0.0013
0.5583	2.3	920	0.7309	0.1982	0.2401	0.8032	nan	0.8398	0.9271	0.6914	0.2786	nan	0.3168	0.0	0.9138	0.0	0.0	0.0	0.8977	0.3485	0.0000	0.0	0.0	0.0318	0.0	0.9526	0.7872	0.9387	0.0	0.0001	nan	0.5701	0.8232	0.6425	0.2159	nan	0.2485	0.0	0.7229	0.0	0.0	0.0	0.6346	0.2852	0.0000	0.0	0.0	0.0311	0.0	0.8088	0.6737	0.8845	0.0	0.0001
0.5408	2.35	940	0.7232	0.2030	0.2485	0.8084	nan	0.7720	0.9608	0.7029	0.2474	nan	0.3902	0.0	0.9341	0.0	0.0	0.0	0.8646	0.5282	0.0001	0.0	0.0	0.0351	0.0	0.9039	0.9030	0.9581	0.0	0.0004	nan	0.6115	0.8171	0.6492	0.2043	nan	0.3080	0.0	0.7312	0.0	0.0	0.0	0.6391	0.3651	0.0001	0.0	0.0	0.0340	0.0	0.8098	0.6466	0.8812	0.0	0.0004
1.1523	2.4	960	0.6908	0.2064	0.2507	0.8158	nan	0.7778	0.9469	0.7897	0.3831	nan	0.4508	0.0	0.9233	0.0	0.0	0.0	0.9244	0.3321	0.0000	0.0	0.0	0.0290	0.0	0.9316	0.8326	0.9506	0.0	0.0002	nan	0.6314	0.8411	0.6907	0.2703	nan	0.3396	0.0	0.7371	0.0	0.0	0.0	0.5962	0.2698	0.0000	0.0	0.0	0.0283	0.0	0.8287	0.6909	0.8855	0.0	0.0002
0.9741	2.45	980	0.6927	0.2039	0.2488	0.8121	nan	0.7481	0.9608	0.8036	0.2805	nan	0.3795	0.0	0.9276	0.0	0.0	0.0	0.8902	0.4291	0.0000	0.0	0.0	0.0437	0.0	0.9060	0.8926	0.9455	0.0	0.0027	nan	0.6171	0.8268	0.6720	0.2265	nan	0.3068	0.0	0.7145	0.0	0.0	0.0	0.6403	0.3232	0.0000	0.0	0.0	0.0421	0.0	0.8103	0.6568	0.8885	0.0	0.0027
0.9522	2.5	1000	0.6949	0.2004	0.2418	0.8087	nan	0.7143	0.9647	0.7791	0.1700	nan	0.3291	0.0	0.9307	0.0	0.0	0.0	0.8956	0.4150	0.0000	0.0	0.0	0.0457	0.0	0.9427	0.8407	0.9510	0.0	0.0017	nan	0.6013	0.8084	0.6657	0.1482	nan	0.2681	0.0	0.7199	0.0	0.0	0.0	0.6305	0.3166	0.0000	0.0	0.0	0.0434	0.0	0.8248	0.6918	0.8932	0.0	0.0017
0.7795	2.55	1020	0.6743	0.2055	0.2532	0.8168	nan	0.8782	0.9299	0.7853	0.2819	nan	0.3655	0.0	0.9596	0.0	0.0	0.0	0.8752	0.4110	0.0003	0.0	0.0	0.0806	0.0	0.9190	0.8912	0.9644	0.0	0.0140	nan	0.6286	0.8513	0.6805	0.2191	nan	0.2970	0.0	0.6633	0.0	0.0	0.0	0.6428	0.3237	0.0003	0.0	0.0	0.0728	0.0	0.8281	0.6762	0.8841	0.0	0.0139
0.9984	2.6	1040	0.6655	0.2076	0.2510	0.8164	nan	0.7700	0.9578	0.7489	0.3231	nan	0.4115	0.0	0.9065	0.0	0.0	0.0	0.8919	0.4451	0.0001	0.0	0.0	0.0538	0.0	0.9433	0.8506	0.9626	0.0	0.0165	nan	0.6246	0.8322	0.6843	0.2528	nan	0.3187	0.0	0.7470	0.0	0.0	0.0	0.6382	0.3288	0.0001	0.0	0.0	0.0503	0.0	0.8195	0.6607	0.8784	0.0	0.0163

The model card is truncated. Read the rest on Hugging Face.

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Nov 12, 2025
Updated: Nov 19, 2025