segformer-finetuned-sidewalk-10k-steps

dragon515/segformer-finetuned-sidewalk-10k-steps

segformer-finetuned-sidewalk-10k-steps is a image segmentation model from dragon515. 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: Jan 18, 2026
Updated: Jan 18, 2026
SHA: 750534d1

Base models

nvidia/mit-b0

Model card

From the Hugging Face model README

segformer-finetuned-sidewalk-10k-steps

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: 0.6462
Mean Iou: 0.2943
Mean Accuracy: 0.3626
Overall Accuracy: 0.8240
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.7343
Accuracy Flat-sidewalk: 0.9430
Accuracy Flat-crosswalk: 0.6858
Accuracy Flat-cyclinglane: 0.7787
Accuracy Flat-parkingdriveway: 0.2795
Accuracy Flat-railtrack: 0.0
Accuracy Flat-curb: 0.3827
Accuracy Human-person: 0.7994
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.9196
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.5625
Accuracy Vehicle-caravan: nan
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8926
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.5511
Accuracy Construction-fenceguardrail: 0.6233
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.4238
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9140
Accuracy Nature-terrain: 0.8487
Accuracy Sky: 0.9487
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0819
Accuracy Void-static: 0.2350
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.6092
Iou Flat-sidewalk: 0.8451
Iou Flat-crosswalk: 0.5356
Iou Flat-cyclinglane: 0.5701
Iou Flat-parkingdriveway: 0.2438
Iou Flat-railtrack: 0.0
Iou Flat-curb: 0.2692
Iou Human-person: 0.5949
Iou Human-rider: 0.0
Iou Vehicle-car: 0.7764
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.3483
Iou Vehicle-caravan: nan
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.6865
Iou Construction-door: 0.0
Iou Construction-wall: 0.4502
Iou Construction-fenceguardrail: 0.4798
Iou Construction-bridge: 0.0
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.0
Iou Object-pole: 0.2902
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8303
Iou Nature-terrain: 0.7527
Iou Sky: 0.8997
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0705
Iou Void-static: 0.1644
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: 8
eval_batch_size: 8
seed: 1337
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: polynomial
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Flat-road	Accuracy Flat-sidewalk	Accuracy Flat-crosswalk	Accuracy Flat-cyclinglane	Accuracy Flat-parkingdriveway	Accuracy Flat-curb	Accuracy Human-person	Accuracy Vehicle-car	Accuracy Vehicle-bicycle	Accuracy Vehicle-caravan	Accuracy Construction-building	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-tunnel	Accuracy Object-pole	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-dynamic	Accuracy Void-static	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-crosswalk	Iou Flat-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-curb	Iou Human-person	Iou Vehicle-car	Iou Vehicle-bicycle	Iou Vehicle-caravan	Iou Construction-building	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-tunnel	Iou Object-pole	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-dynamic	Iou Void-static
2.63	1.0	107	1.9980	0.0963	0.1445	0.6255	nan	0.6281	0.8645	0.0	0.0124	0.0001	0.0	0.0	0.7369	0.0	nan	0.9438	0.0001	0.0	nan	0.0	0.8879	0.1919	0.3579	0.0	0.0	nan	0.4027	0.6936	0.0	0.0124	0.0001	0.0	0.0	0.4651	0.0	nan	0.3644	0.0001	0.0	nan	0.0	0.6192	0.1737	0.3506	0.0	0.0
1.8424	2.0	214	1.6238	0.1322	0.1887	0.6748	nan	0.6829	0.8440	0.0	0.3072	0.0001	0.0	0.0	0.8499	0.0	nan	0.9208	0.0003	0.0	nan	0.0	0.8021	0.8326	0.7990	0.0	0.0	nan	0.4155	0.7297	0.0	0.3025	0.0001	0.0	0.0	0.4853	0.0	nan	0.3962	0.0003	0.0	nan	0.0	0.6875	0.5089	0.7043	0.0	0.0
1.4704	3.0	321	1.2968	0.1417	0.1997	0.6970	nan	0.7446	0.8746	0.0	0.6493	0.0015	0.0	0.0	0.8200	0.0	nan	0.9217	0.0032	0.0	nan	0.0	0.6884	0.8817	0.8052	0.0	0.0	nan	0.4547	0.7688	0.0	0.4908	0.0015	0.0	0.0	0.5857	0.0	nan	0.4631	0.0032	0.0	nan	0.0	0.6120	0.4259	0.7284	0.0	0.0
1.3174	4.0	428	1.1414	0.1542	0.2047	0.7321	nan	0.7118	0.9222	0.0	0.6080	0.0191	0.0	0.0	0.8872	0.0	nan	0.8776	0.0076	0.0	nan	0.0	0.8792	0.7669	0.8715	0.0	0.0	nan	0.4734	0.7606	0.0	0.4941	0.0185	0.0	0.0	0.5720	0.0	nan	0.5325	0.0076	0.0	nan	0.0	0.7293	0.5851	0.7627	0.0	0.0
1.2029	5.0	535	1.0745	0.1563	0.2074	0.7358	nan	0.7190	0.9134	0.0	0.6283	0.0828	0.0	0.0	0.9097	0.0	nan	0.8676	0.0069	0.0	nan	0.0	0.9103	0.7157	0.8839	0.0	0.0	nan	0.4907	0.7877	0.0	0.5345	0.0721	0.0	0.0	0.5297	0.0	nan	0.5196	0.0069	0.0	nan	0.0	0.7134	0.5446	0.8036	0.0	0.0
1.0631	6.0	642	1.0674	0.1534	0.2017	0.7228	nan	0.4849	0.9689	0.0	0.5688	0.1631	0.0003	0.0	0.9217	0.0	nan	0.8618	0.0442	0.0	nan	0.0016	0.8535	0.8100	0.7706	0.0	0.0055	nan	0.4396	0.7250	0.0	0.4864	0.1308	0.0003	0.0	0.5447	0.0	nan	0.5526	0.0440	0.0	nan	0.0016	0.7050	0.5412	0.7326	0.0	0.0053
1.0168	7.0	749	0.9743	0.1616	0.2145	0.7340	nan	0.6248	0.9629	0.0	0.6055	0.1411	0.0113	0.0	0.9606	0.0	nan	0.7945	0.2188	0.0	nan	0.0070	0.8002	0.8392	0.8816	0.0	0.0150	nan	0.5055	0.7658	0.0	0.4673	0.1218	0.0105	0.0	0.4911	0.0	nan	0.5737	0.2075	0.0	nan	0.0070	0.7005	0.5065	0.8004	0.0	0.0141
0.9498	8.0	856	0.9138	0.1800	0.2314	0.7513	nan	0.6538	0.9501	0.1609	0.6160	0.1876	0.1763	0.0001	0.9170	0.0	nan	0.8431	0.2112	0.0000	nan	0.0282	0.8518	0.8370	0.9376	0.0	0.0334	nan	0.5357	0.7786	0.1571	0.4909	0.1492	0.1302	0.0001	0.5745	0.0	nan	0.5902	0.2018	0.0000	nan	0.0281	0.7006	0.5791	0.8144	0.0	0.0295
0.9311	9.0	963	0.9098	0.1852	0.2323	0.7500	nan	0.5355	0.9646	0.2723	0.5754	0.1484	0.2072	0.0159	0.9134	0.0	nan	0.8930	0.1797	0.0007	nan	0.0703	0.8887	0.8187	0.9042	0.0	0.0456	nan	0.4791	0.7572	0.2706	0.4683	0.1297	0.1247	0.0159	0.6194	0.0	nan	0.5866	0.1662	0.0007	nan	0.0692	0.7463	0.6401	0.8198	0.0	0.0333
0.8429	10.0	1070	0.8815	0.2035	0.2596	0.7613	nan	0.6066	0.9371	0.3986	0.6835	0.2049	0.2464	0.1894	0.9202	0.0	nan	0.8681	0.4150	0.0151	nan	0.1195	0.8504	0.8775	0.9150	0.0	0.0607	nan	0.4903	0.7980	0.3464	0.5011	0.1773	0.1601	0.1791	0.6061	0.0	nan	0.6219	0.3161	0.0150	nan	0.1141	0.7200	0.5939	0.8216	0.0	0.0510
0.7821	11.0	1177	0.9169	0.1967	0.2541	0.7417	nan	0.4194	0.9454	0.5742	0.6082	0.1706	0.2582	0.1495	0.8910	0.0	nan	0.9334	0.4634	0.0003	nan	0.1230	0.8317	0.8547	0.8725	0.0	0.0361	nan	0.4028	0.7552	0.3985	0.5066	0.1494	0.1439	0.1417	0.6719	0.0	nan	0.5445	0.2527	0.0003	nan	0.1147	0.7515	0.6304	0.8000	0.0	0.0292
0.7941	12.0	1284	0.8220	0.2171	0.2738	0.7725	nan	0.5586	0.9570	0.4591	0.7406	0.1263	0.2350	0.4535	0.9118	0.0	nan	0.8894	0.5316	0.0018	nan	0.2102	0.8690	0.8578	0.8877	0.0	0.0716	nan	0.4903	0.8016	0.3960	0.5066	0.1175	0.1368	0.3796	0.6791	0.0	nan	0.6548	0.3735	0.0018	nan	0.1689	0.7584	0.6106	0.8141	0.0	0.0567
0.7382	13.0	1391	0.8105	0.2252	0.2871	0.7731	nan	0.5930	0.9464	0.6907	0.6366	0.2572	0.3422	0.3964	0.9028	0.0	nan	0.9174	0.5818	0.0067	nan	0.2424	0.8283	0.8558	0.9047	0.0	0.0856	nan	0.5106	0.8001	0.5068	0.5288	0.1956	0.1846	0.3387	0.6876	0.0	nan	0.6304	0.3768	0.0067	nan	0.1815	0.7511	0.6230	0.8164	0.0	0.0665
0.7245	14.0	1498	0.7762	0.2330	0.2908	0.7871	nan	0.6901	0.9576	0.6717	0.6076	0.2132	0.3430	0.5243	0.9038	0.0	nan	0.9060	0.4936	0.0218	nan	0.2390	0.8675	0.8526	0.8906	0.0	0.1243	nan	0.5786	0.8089	0.5188	0.5376	0.1888	0.1863	0.3902	0.6983	0.0	nan	0.6403	0.3684	0.0217	nan	0.1928	0.7659	0.6466	0.8261	0.0	0.0880
0.716	15.0	1605	0.7406	0.2401	0.2986	0.7977	nan	0.7674	0.9396	0.6055	0.6820	0.1779	0.2830	0.6526	0.9048	0.0	nan	0.8975	0.5333	0.0513	nan	0.2485	0.9006	0.8634	0.8987	0.0	0.1480	nan	0.6092	0.8228	0.5039	0.5937	0.1587	0.1816	0.4437	0.7046	0.0	nan	0.6620	0.3899	0.0505	nan	0.1989	0.7690	0.6631	0.8312	0.0	0.0995
0.6967	16.0	1712	0.7519	0.2374	0.3022	0.7868	nan	0.6527	0.9248	0.5821	0.7152	0.2506	0.3536	0.7032	0.9183	0.0	nan	0.8921	0.5618	0.0642	nan	0.3191	0.9139	0.7944	0.9108	0.0	0.1121	nan	0.5396	0.8161	0.4210	0.5140	0.2151	0.2164	0.4745	0.6696	0.0	nan	0.6619	0.3695	0.0629	nan	0.2228	0.7769	0.7082	0.8398	0.0	0.0877
0.7146	17.0	1819	0.7673	0.2381	0.2984	0.7853	nan	0.6112	0.9554	0.6551	0.6374	0.2040	0.3131	0.6927	0.9469	0.0	nan	0.8407	0.5511	0.0980	nan	0.2891	0.9134	0.8228	0.9164	0.0	0.1020	nan	0.5347	0.8061	0.4892	0.4776	0.1807	0.2031	0.5341	0.6233	0.0	nan	0.6703	0.3876	0.0955	nan	0.2245	0.7746	0.6848	0.8530	0.0	0.0798
0.6249	18.0	1926	0.7641	0.2400	0.3017	0.7823	nan	0.6081	0.9589	0.6340	0.5831	0.1883	0.3585	0.7692	0.8911	0.0039	nan	0.8484	0.5604	0.1292	nan	0.3278	0.9132	0.8197	0.8919	0.0	0.1704	nan	0.5348	0.7856	0.4942	0.4752	0.1651	0.2141	0.4601	0.7166	0.0039	nan	0.6632	0.3938	0.1226	nan	0.2324	0.7814	0.7015	0.8409	0.0	0.0952
0.6523	19.0	2033	0.7224	0.2463	0.3111	0.7971	nan	0.7888	0.9238	0.6959	0.6892	0.2065	0.4011	0.7448	0.9197	0.0055	nan	0.8725	0.5523	0.1192	nan	0.2748	0.9003	0.7875	0.9184	0.0	0.1534	nan	0.5868	0.8283	0.4928	0.5559	0.1853	0.2254	0.4812	0.6969	0.0055	nan	0.6617	0.3885	0.1146	nan	0.2333	0.7849	0.6897	0.8427	0.0	0.1065
0.6197	20.0	2140	0.7227	0.2458	0.3095	0.7916	nan	0.7398	0.9395	0.5908	0.6982	0.3091	0.1808	0.7815	0.9326	0.0119	nan	0.7589	0.5982	0.2340	nan	0.3220	0.8934	0.8224	0.9427	0.0	0.1480	nan	0.5737	0.8184	0.4611	0.5457	0.2474	0.1301	0.5265	0.6796	0.0119	nan	0.6438	0.3870	0.2141	nan	0.2447	0.7855	0.6601	0.8530	0.0	0.0834
0.6298	21.0	2247	0.6826	0.2509	0.3077	0.8064	nan	0.7776	0.9477	0.4951	0.6982	0.2926	0.2909	0.7075	0.9019	0.0142	nan	0.9299	0.5729	0.1771	nan	0.2987	0.8786	0.8219	0.9182	0.0	0.1232	nan	0.6216	0.8323	0.4266	0.5821	0.2268	0.2128	0.4706	0.7242	0.0142	nan	0.6507	0.4138	0.1642	nan	0.2382	0.7984	0.7100	0.8501	0.0	0.0926
0.6061	22.0	2354	0.7402	0.2486	0.3103	0.7827	nan	0.5784	0.9298	0.6171	0.7021	0.2619	0.4360	0.6863	0.8642	0.1084	nan	0.9295	0.5527	0.1772	nan	0.3262	0.8885	0.8234	0.9107	0.0	0.1387	nan	0.4789	0.8126	0.5314	0.4620	0.2266	0.2501	0.4935	0.7363	0.1077	nan	0.6343	0.3711	0.1685	nan	0.2476	0.7958	0.6886	0.8472	0.0	0.1035
0.6077	23.0	2461	0.7142	0.2531	0.3190	0.7952	nan	0.6883	0.9434	0.5959	0.7071	0.1699	0.3899	0.8140	0.9342	0.0978	nan	0.8151	0.6305	0.2628	nan	0.3704	0.9076	0.8137	0.9280	0.0	0.1386	nan	0.5589	0.8195	0.5106	0.5287	0.1556	0.2372	0.5124	0.6813	0.0973	nan	0.6704	0.4002	0.2327	nan	0.2401	0.7962	0.7060	0.8652	0.0	0.0880
0.5733	24.0	2568	0.7468	0.2501	0.3185	0.7873	nan	0.5767	0.9343	0.6211	0.8107	0.2497	0.2288	0.8094	0.8896	0.1378	nan	0.8390	0.6598	0.2204	nan	0.3576	0.8947	0.8386	0.9353	0.0	0.1881	nan	0.4845	0.8256	0.4737	0.4719	0.2088	0.1725	0.4850	0.7548	0.1349	nan	0.6777	0.3968	0.2024	nan	0.2388	0.7981	0.6989	0.8663	0.0	0.1115
0.5824	25.0	2675	0.7206	0.2563	0.3208	0.7954	nan	0.6241	0.9485	0.6620	0.6874	0.2499	0.2609	0.8283	0.9214	0.2053	nan	0.8816	0.5645	0.2351	nan	0.3385	0.9068	0.8273	0.9361	0.0	0.1874	nan	0.5304	0.8169	0.4817	0.4789	0.2252	0.1871	0.5111	0.7262	0.2021	nan	0.6784	0.3912	0.2134	nan	0.2592	0.8047	0.7062	0.8659	0.0	0.1228
0.5506	26.0	2782	0.7127	0.2604	0.3235	0.7946	nan	0.5265	0.9560	0.6204	0.7186	0.3018	0.3646	0.7754	0.9310	0.3294	nan	0.9078	0.5830	0.3238	nan	0.3049	0.9168	0.7917	0.9116	0.0	0.0890	nan	0.4743	0.8219	0.4720	0.5288	0.2387	0.2255	0.5548	0.7092	0.2764	nan	0.6596	0.4101	0.2624	nan	0.2481	0.7994	0.7116	0.8628	0.0	0.0772
0.5929	27.0	2889	0.6866	0.2702	0.3379	0.8080	nan	0.7504	0.9380	0.6357	0.6362	0.2503	0.4525	0.8158	0.9169	0.3336	nan	0.8518	0.6337	0.4338	nan	0.3500	0.9267	0.8349	0.9111	0.0	0.1416	nan	0.6072	0.8361	0.4559	0.5403	0.2103	0.2754	0.5277	0.7270	0.2917	nan	0.6729	0.4051	0.3650	nan	0.2615	0.7990	0.7024	0.8670	0.0	0.1024
0.5296	28.0	2996	0.6657	0.2744	0.3366	0.8174	nan	0.8030	0.9396	0.5971	0.7430	0.2328	0.3024	0.7030	0.9173	0.4111	nan	0.8984	0.5995	0.4654	nan	0.3340	0.8962	0.8665	0.9347	0.0	0.1270	nan	0.6209	0.8478	0.4616	0.6394	0.2037	0.2163	0.5525	0.7416	0.2995	nan	0.6580	0.4454	0.3746	nan	0.2432	0.8057	0.7067	0.8663	0.0	0.0991
0.535	29.0	3103	0.6941	0.2633	0.3319	0.8032	nan	0.7476	0.9327	0.4774	0.7654	0.2080	0.3697	0.7623	0.9269	0.4097	nan	0.9014	0.6352	0.3538	nan	0.3495	0.8454	0.8863	0.9312	0.0	0.1189	nan	0.5919	0.8389	0.3984	0.5860	0.1892	0.2353	0.5625	0.7135	0.2874	nan	0.6647	0.3925	0.3106	nan	0.2573	0.7811	0.6565	0.8628	0.0	0.0970
0.5551	30.0	3210	0.7026	0.2733	0.3455	0.8054	nan	0.7616	0.9166	0.6284	0.7953	0.2657	0.3415	0.8005	0.9268	0.4347	nan	0.7702	0.5733	0.5522	nan	0.3897	0.9143	0.8901	0.9284	0.0	0.1665	nan	0.5663	0.8402	0.4873	0.5934	0.2306	0.1979	0.5712	0.7261	0.2964	nan	0.6603	0.4536	0.4196	nan	0.2235	0.7999	0.7053	0.8746	0.0	0.1003
0.5058	31.0	3317	0.6920	0.2668	0.3319	0.8034	nan	0.6651	0.9402	0.6938	0.7921	0.1592	0.1482	0.7545	0.9158	0.4385	nan	0.9100	0.6277	0.4017	nan	0.3257	0.8912	0.8587	0.9299	0.0	0.1697	nan	0.5487	0.8292	0.4928	0.5287	0.1504	0.1199	0.5477	0.7419	0.3481	nan	0.6785	0.4538	0.3387	nan	0.2476	0.8063	0.7150	0.8719	0.0	0.1177
0.549	32.0	3424	0.6540	0.2754	0.3357	0.8145	nan	0.7787	0.9544	0.6566	0.6189	0.2471	0.2747	0.7314	0.9109	0.4204	nan	0.8923	0.6464	0.4001	nan	0.3407	0.9046	0.8565	0.9406	0.0	0.1677	nan	0.6204	0.8321	0.5080	0.5512	0.2080	0.2068	0.5565	0.7428	0.3474	nan	0.6856	0.4436	0.3199	nan	0.2525	0.8093	0.7290	0.8767	0.0	0.1223
0.4887	33.0	3531	0.6701	0.2748	0.3489	0.8084	nan	0.7960	0.9191	0.7126	0.7493	0.2179	0.2874	0.8168	0.9288	0.5190	nan	0.8606	0.5587	0.5084	nan	0.4138	0.8850	0.8639	0.9287	0.0	0.1998	nan	0.5760	0.8360	0.4942	0.5972	0.1943	0.2041	0.5513	0.7158	0.3120	nan	0.6771	0.4494	0.4050	nan	0.2481	0.8107	0.7304	0.8742	0.0	0.1168
0.5009	34.0	3638	0.6632	0.2796	0.3471	0.8166	nan	0.8099	0.9275	0.7244	0.7450	0.2597	0.2392	0.7828	0.9171	0.5469	nan	0.8529	0.6339	0.3797	nan	0.3752	0.9226	0.8523	0.9404	0.0	0.1980	nan	0.5918	0.8395	0.5273	0.6345	0.2268	0.1833	0.5748	0.7523	0.3311	nan	0.6811	0.4360	0.3394	nan	0.2690	0.8151	0.7392	0.8842	0.0	0.1233
0.4979	35.0	3745	0.6647	0.2793	0.3448	0.8133	nan	0.8031	0.9350	0.6527	0.6724	0.1961	0.3824	0.7662	0.9312	0.4869	nan	0.8697	0.5610	0.5423	nan	0.3317	0.9015	0.8801	0.9300	0.0	0.1926	nan	0.6138	0.8295	0.5184	0.5878	0.1812	0.2364	0.5785	0.7284	0.3313	nan	0.6623	0.4175	0.4419	nan	0.2562	0.8171	0.7341	0.8727	0.0	0.1293
0.5083	36.0	3852	0.6619	0.2806	0.3498	0.8165	nan	0.7138	0.9431	0.7095	0.7867	0.2334	0.3650	0.8100	0.9304	0.5152	nan	0.8853	0.5142	0.5409	nan	0.3403	0.9087	0.8541	0.9328	0.0	0.2097	nan	0.5907	0.8491	0.4749	0.5863	0.2113	0.2494	0.5978	0.7386	0.3317	nan	0.6648	0.4301	0.4399	nan	0.2594	0.8158	0.7326	0.8755	0.0	0.1312
0.4658	37.0	3959	0.6592	0.2758	0.3475	0.8125	nan	0.7238	0.9466	0.6958	0.7469	0.1840	0.4073	0.7977	0.9247	0.5458	nan	0.8411	0.4762	0.6125	nan	0.3344	0.9212	0.8397	0.9442	0.0	0.1776	nan	0.5898	0.8423	0.5067	0.5715	0.1665	0.2527	0.5868	0.7449	0.2936	nan	0.6668	0.4044	0.3970	nan	0.2564	0.8142	0.7296	0.8871	0.0	0.1156
0.5041	38.0	4066	0.6821	0.2757	0.3458	0.8138	nan	0.7958	0.9343	0.6860	0.7360	0.1790	0.2687	0.8215	0.9422	0.5275	nan	0.8660	0.4874	0.5490	nan	0.3597	0.9099	0.8417	0.9353	0.0	0.2244	nan	0.5934	0.8372	0.5011	0.6009	0.1652	0.1949	0.5734	0.7193	0.2644	nan	0.6693	0.4219	0.4293	nan	0.2617	0.8201	0.7413	0.8809	0.0	0.1473
0.4946	39.0	4173	0.6612	0.2792	0.3439	0.8133	nan	0.7046	0.9491	0.6880	0.7608	0.2718	0.2777	0.7270	0.8994	0.5110	nan	0.8781	0.5299	0.4999	nan	0.3600	0.9064	0.8650	0.9330	0.0	0.2416	nan	0.5780	0.8383	0.4921	0.5850	0.2275	0.2135	0.5617	0.7622	0.3422	nan	0.6676	0.4205	0.4338	nan	0.2630	0.8166	0.7247	0.8771	0.0	0.1321
0.4936	40.0	4280	0.6642	0.2779	0.3452	0.8113	nan	0.6705	0.9583	0.7094	0.6666	0.2670	0.3610	0.7727	0.9260	0.5094	nan	0.8904	0.5739	0.4917	nan	0.3673	0.9063	0.8504	0.9355	0.0	0.1890	nan	0.5905	0.8279	0.4822	0.5260	0.2262	0.2500	0.5781	0.7444	0.3211	nan	0.6694	0.4386	0.4239	nan	0.2590	0.8173	0.7336	0.8761	0.0	0.1295
0.4687	41.0	4387	0.6753	0.2790	0.3432	0.8131	nan	0.6830	0.9406	0.6153	0.7959	0.2582	0.3876	0.7297	0.8936	0.4882	nan	0.9238	0.4874	0.5605	nan	0.3546	0.9053	0.8757	0.9151	0.0	0.1681	nan	0.5847	0.8406	0.4624	0.5748	0.2259	0.2640	0.5750	0.7606	0.3509	nan	0.6537	0.4221	0.4330	nan	0.2558	0.8096	0.7198	0.8766	0.0	0.1192
0.4832	42.0	4494	0.6530	0.2800	0.3487	0.8207	nan	0.8168	0.9364	0.6078	0.7681	0.2336	0.3935	0.8224	0.9140	0.5507	nan	0.8973	0.5493	0.5175	nan	0.3373	0.8939	0.8489	0.9400	0.0	0.1308	nan	0.6274	0.8486	0.4886	0.6197	0.2031	0.2536	0.5606	0.7485	0.2911	nan	0.6701	0.4297	0.4218	nan	0.2606	0.8194	0.7411	0.8784	0.0	0.0988
0.4699	43.0	4601	0.6399	0.2822	0.3519	0.8193	nan	0.7260	0.9608	0.5982	0.7219	0.2718	0.4220	0.8110	0.9270	0.5764	nan	0.8423	0.5458	0.5565	nan	0.3945	0.9184	0.8457	0.9398	0.0	0.2031	nan	0.6269	0.8350	0.4862	0.5720	0.2363	0.2720	0.5675	0.7519	0.2699	nan	0.6844	0.4319	0.4619	nan	0.2678	0.8209	0.7317	0.8837	0.0	0.1301
0.4547	44.0	4708	0.6974	0.2744	0.3519	0.8014	nan	0.5516	0.9441	0.7095	0.7787	0.2917	0.3794	0.8238	0.9199	0.5718	nan	0.8290	0.5251	0.5755	nan	0.4365	0.9341	0.8352	0.9445	0.0	0.2108	nan	0.4808	0.8282	0.4516	0.5240	0.2493	0.2582	0.5676	0.7460	0.2794	nan	0.6784	0.4388	0.4654	nan	0.2596	0.8099	0.7246	0.8896	0.0	0.1304
0.4615	45.0	4815	0.6884	0.2744	0.3431	0.8030	nan	0.6622	0.9364	0.6362	0.7141	0.2589	0.3586	0.8283	0.9206	0.5239	nan	0.8537	0.6041	0.3886	nan	0.3873	0.9246	0.8531	0.9144	0.0	0.2140	nan	0.5270	0.8248	0.4907	0.5153	0.2251	0.2502	0.5887	0.7667	0.3280	nan	0.6800	0.4054	0.3527	nan	0.2719	0.8159	0.7295	0.8783	0.0	0.1321
0.4539	46.0	4922	0.6812	0.2804	0.3572	0.8111	nan	0.7641	0.9171	0.6762	0.7756	0.1882	0.4386	0.8164	0.9274	0.5455	nan	0.8590	0.5625	0.5740	nan	0.3836	0.8933	0.9065	0.9194	0.0	0.2814	nan	0.5863	0.8417	0.5086	0.5907	0.1742	0.2626	0.5739	0.7495	0.3148	nan	0.6689	0.4167	0.4474	nan	0.2820	0.8135	0.7097	0.8760	0.0	0.1546
0.4581	47.0	5029	0.6982	0.2772	0.3457	0.8082	nan	0.6467	0.9593	0.7545	0.7354	0.1747	0.3802	0.8261	0.9224	0.5134	nan	0.8823	0.5601	0.4923	nan	0.3269	0.8946	0.8408	0.9262	0.0006	0.2253	nan	0.5821	0.8140	0.5309	0.5726	0.1594	0.2421	0.5780	0.7571	0.3356	nan	0.6645	0.4193	0.3925	nan	0.2534	0.8173	0.7316	0.8788	0.0006	0.1407
0.4447	48.0	5136	0.6573	0.2787	0.3515	0.8196	nan	0.7790	0.9442	0.6071	0.7526	0.2421	0.4379	0.7060	0.9177	0.5832	nan	0.8395	0.5075	0.6384	nan	0.4100	0.9210	0.8484	0.9448	0.0002	0.1679	nan	0.6252	0.8451	0.4817	0.6482	0.2095	0.2636	0.5414	0.7562	0.2269	nan	0.6683	0.4194	0.4106	nan	0.2684	0.8180	0.7297	0.8936	0.0002	0.1132
0.4399	49.0	5243	0.6476	0.2854	0.3517	0.8184	nan	0.7563	0.9451	0.5833	0.6977	0.3426	0.4461	0.7491	0.9158	0.5356	nan	0.8726	0.5524	0.5858	nan	0.3915	0.9131	0.8319	0.9306	0.0	0.2034	nan	0.6347	0.8318	0.4926	0.5892	0.2738	0.2691	0.5808	0.7648	0.3190	nan	0.6773	0.4066	0.4442	nan	0.2776	0.8187	0.7388	0.8872	0.0	0.1261
0.4514	50.0	5350	0.6729	0.2788	0.3450	0.8141	nan	0.7067	0.9460	0.6818	0.7553	0.1655	0.3610	0.7631	0.9181	0.5214	nan	0.9110	0.5190	0.5496	nan	0.3739	0.9095	0.8497	0.9463	0.0	0.1616	nan	0.5892	0.8353	0.5012	0.5906	0.1516	0.2551	0.5744	0.7533	0.3276	nan	0.6527	0.4185	0.4436	nan	0.2704	0.8202	0.7379	0.8873	0.0	0.1126
0.4251	51.0	5457	0.6620	0.2828	0.3494	0.8156	nan	0.6932	0.9428	0.6475	0.7833	0.1722	0.3863	0.8126	0.9108	0.5422	nan	0.8946	0.5261	0.5474	nan	0.3677	0.9227	0.8811	0.9380	0.0000	0.2134	nan	0.5773	0.8405	0.5207	0.5604	0.1582	0.2646	0.5933	0.7724	0.3412	nan	0.6724	0.4298	0.4570	nan	0.2740	0.8208	0.7329	0.8906	0.0000	0.1422
0.4166	52.0	5564	0.6457	0.2812	0.3477	0.8195	nan	0.7720	0.9567	0.6460	0.7728	0.1172	0.2769	0.7827	0.9275	0.5414	nan	0.8460	0.5852	0.5303	nan	0.4185	0.9121	0.8455	0.9454	0.0224	0.2293	nan	0.6288	0.8412	0.5142	0.6169	0.1081	0.2002	0.5762	0.7551	0.3232	nan	0.6709	0.4218	0.4460	nan	0.2757	0.8228	0.7467	0.8913	0.0216	0.1391

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Jan 18, 2026
Updated: Jan 18, 2026