segformer-finetuned-sidewalk-10k-steps

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

segformer-finetuned-sidewalk-10k-steps is a image segmentation model from UniversalAlgorithmic. 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: Feb 25, 2025
Updated: Feb 26, 2025
SHA: fe6ce9e5

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: 0.7374
Mean Iou: 0.2416
Mean Accuracy: 0.2999
Overall Accuracy: 0.7734
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.6510
Accuracy Flat-sidewalk: 0.9233
Accuracy Flat-crosswalk: 0.2213
Accuracy Flat-cyclinglane: 0.7913
Accuracy Flat-parkingdriveway: 0.1622
Accuracy Flat-railtrack: nan
Accuracy Flat-curb: 0.2644
Accuracy Human-person: 0.5132
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.8762
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.5599
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8477
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.3544
Accuracy Construction-fenceguardrail: 0.2162
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.4378
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.8943
Accuracy Nature-terrain: 0.8209
Accuracy Sky: 0.9377
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0
Accuracy Void-static: 0.1252
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.5135
Iou Flat-sidewalk: 0.7767
Iou Flat-crosswalk: 0.2106
Iou Flat-cyclinglane: 0.4920
Iou Flat-parkingdriveway: 0.1421
Iou Flat-railtrack: nan
Iou Flat-curb: 0.1965
Iou Human-person: 0.4309
Iou Human-rider: 0.0
Iou Vehicle-car: 0.7003
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.4517
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.5982
Iou Construction-door: 0.0
Iou Construction-wall: 0.2905
Iou Construction-fenceguardrail: 0.1754
Iou Construction-bridge: 0.0
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.0
Iou Object-pole: 0.2811
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.7988
Iou Nature-terrain: 0.6516
Iou Sky: 0.9071
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0
Iou Void-static: 0.1129
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-railtrack	Accuracy Flat-curb	Accuracy Human-person	Accuracy Vehicle-car	Accuracy Vehicle-bicycle	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-static	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-crosswalk	Iou Flat-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-railtrack	Iou Flat-curb	Iou Human-person	Iou Vehicle-car	Iou Vehicle-bicycle	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-static
2.9189	1.0	107	2.1144	0.0808	0.1258	0.5966	nan	0.3867	0.9175	0.0	0.0382	0.0004	nan	0.0003	0.0	0.8052	0.0	0.6941	0.0	0.0	nan	0.0003	0.9709	0.0057	0.2051	0.0	nan	0.2870	0.6301	0.0	0.0378	0.0004	nan	0.0003	0.0	0.4862	0.0	0.4112	0.0	0.0	nan	0.0003	0.5234	0.0057	0.2041	0.0
2.0725	2.0	214	1.6033	0.1214	0.1655	0.6652	nan	0.5384	0.9250	0.0	0.0884	0.0009	nan	0.0007	0.0	0.8467	0.0	0.7956	0.0	0.0	nan	0.0006	0.9357	0.4544	0.7101	0.0	nan	0.3605	0.6590	0.0	0.0875	0.0009	nan	0.0007	0.0	0.5345	0.0	0.4680	0.0	0.0	nan	0.0006	0.6716	0.4035	0.6995	0.0
1.6236	3.0	321	1.3755	0.1370	0.1813	0.6915	nan	0.5898	0.9267	0.0	0.2833	0.0034	nan	0.0004	0.0	0.8316	0.0	0.8292	0.0	0.0	nan	0.0071	0.9055	0.6923	0.7337	0.0	nan	0.3987	0.6797	0.0	0.2749	0.0034	nan	0.0004	0.0	0.5777	0.0	0.4941	0.0	0.0	nan	0.0070	0.6900	0.5339	0.7251	0.0
1.4384	4.0	428	1.1619	0.1452	0.1872	0.7044	nan	0.6030	0.9366	0.0	0.3853	0.0045	nan	0.0	0.0	0.8463	0.0	0.8225	0.0000	0.0	nan	0.0324	0.9108	0.6413	0.8075	0.0	nan	0.4107	0.6801	0.0	0.3751	0.0045	nan	0.0	0.0	0.6068	0.0	0.5149	0.0000	0.0	nan	0.0318	0.7158	0.5173	0.7907	0.0
1.306	5.0	535	1.0957	0.1544	0.1977	0.7212	nan	0.6672	0.9345	0.0	0.5035	0.0151	nan	0.0005	0.0	0.8476	0.0	0.8349	0.0	0.0	nan	0.0556	0.8861	0.7227	0.8582	0.0	nan	0.4448	0.7046	0.0	0.4719	0.0149	nan	0.0005	0.0	0.6106	0.0	0.5161	0.0	0.0	nan	0.0540	0.7358	0.5546	0.8338	0.0
1.1705	6.0	642	1.0302	0.1566	0.2010	0.7220	nan	0.6341	0.9366	0.0	0.5435	0.0243	nan	0.0038	0.0	0.8437	0.0	0.8492	0.0000	0.0	nan	0.0869	0.8715	0.7811	0.8573	0.0	nan	0.4427	0.7038	0.0	0.4830	0.0238	nan	0.0037	0.0	0.6210	0.0	0.5214	0.0000	0.0	nan	0.0822	0.7298	0.5648	0.8336	0.0
1.1154	7.0	749	0.9927	0.1584	0.2013	0.7251	nan	0.5862	0.9501	0.0	0.5877	0.0375	nan	0.0141	0.0	0.8369	0.0	0.8515	0.0002	0.0	nan	0.0869	0.8881	0.7162	0.8870	0.0	nan	0.4482	0.6987	0.0	0.4857	0.0365	nan	0.0135	0.0	0.6309	0.0	0.5195	0.0002	0.0	nan	0.0823	0.7427	0.5559	0.8558	0.0
1.12	8.0	856	0.9656	0.1603	0.2020	0.7210	nan	0.5348	0.9597	0.0	0.5422	0.0442	nan	0.0175	0.0	0.8520	0.0	0.8169	0.0075	0.0	nan	0.1903	0.9044	0.7085	0.8853	0.0004	nan	0.4313	0.6806	0.0	0.4849	0.0428	nan	0.0168	0.0	0.6318	0.0	0.5367	0.0074	0.0	nan	0.1595	0.7272	0.5544	0.8556	0.0004
1.0522	9.0	963	0.9461	0.1628	0.2054	0.7243	nan	0.5211	0.9637	0.0000	0.5585	0.0812	nan	0.0295	0.0	0.8472	0.0	0.8682	0.0041	0.0	nan	0.1808	0.8782	0.7431	0.8957	0.0004	nan	0.4313	0.6859	0.0000	0.4840	0.0765	nan	0.0276	0.0	0.6286	0.0	0.5228	0.0041	0.0	nan	0.1609	0.7535	0.5697	0.8645	0.0004
1.0322	10.0	1070	0.9136	0.1669	0.2094	0.7290	nan	0.5705	0.9539	0.0001	0.5491	0.1015	nan	0.0505	0.0039	0.8513	0.0	0.8516	0.0073	0.0004	nan	0.2612	0.9048	0.6907	0.9011	0.0035	nan	0.4428	0.6989	0.0001	0.4897	0.0928	nan	0.0450	0.0039	0.6326	0.0	0.5360	0.0073	0.0004	nan	0.2123	0.7482	0.5573	0.8692	0.0035
1.0545	11.0	1177	0.9201	0.1678	0.2114	0.7278	nan	0.5447	0.9642	0.0	0.5834	0.0720	nan	0.0469	0.0044	0.8464	0.0	0.8706	0.0202	0.0006	nan	0.3070	0.8616	0.7421	0.8990	0.0032	nan	0.4452	0.6874	0.0	0.4959	0.0684	nan	0.0422	0.0044	0.6307	0.0	0.5296	0.0199	0.0006	nan	0.2423	0.7651	0.5715	0.8642	0.0032
0.9935	12.0	1284	0.8949	0.1727	0.2199	0.7356	nan	0.6496	0.9269	0.0006	0.6428	0.0983	nan	0.0670	0.0082	0.8635	0.0	0.8483	0.0436	0.0046	nan	0.3061	0.8696	0.7819	0.9209	0.0057	nan	0.4548	0.7210	0.0006	0.5029	0.0914	nan	0.0575	0.0082	0.6351	0.0	0.5487	0.0425	0.0046	nan	0.2358	0.7541	0.5825	0.8808	0.0057
0.9687	13.0	1391	0.8695	0.1768	0.2232	0.7427	nan	0.6350	0.9351	0.0069	0.6710	0.1351	nan	0.0653	0.0306	0.8464	0.0	0.8375	0.0720	0.0094	nan	0.3249	0.9068	0.7594	0.9019	0.0057	nan	0.4742	0.7340	0.0069	0.5044	0.1190	nan	0.0559	0.0305	0.6480	0.0	0.5538	0.0695	0.0093	nan	0.2273	0.7472	0.5983	0.8725	0.0057
0.9329	14.0	1498	0.8690	0.1788	0.2261	0.7422	nan	0.7241	0.8937	0.0317	0.6871	0.1407	nan	0.0972	0.0218	0.8505	0.0	0.8586	0.0784	0.0118	nan	0.3074	0.9142	0.6926	0.9178	0.0082	nan	0.4762	0.7410	0.0316	0.5085	0.1232	nan	0.0809	0.0217	0.6409	0.0	0.5486	0.0756	0.0117	nan	0.2344	0.7575	0.5813	0.8791	0.0082
0.9283	15.0	1605	0.8541	0.1813	0.2272	0.7462	nan	0.6486	0.9337	0.0308	0.6604	0.1308	nan	0.1125	0.0712	0.8640	0.0000	0.8504	0.1080	0.0103	nan	0.2926	0.9088	0.7309	0.9080	0.0084	nan	0.4851	0.7373	0.0307	0.5010	0.1177	nan	0.0913	0.0708	0.6366	0.0000	0.5547	0.1022	0.0102	nan	0.2315	0.7571	0.5913	0.8770	0.0084
0.8684	16.0	1712	0.8498	0.1835	0.2304	0.7442	nan	0.5613	0.9512	0.0368	0.6908	0.1314	nan	0.0850	0.1192	0.8741	0.0004	0.8662	0.1484	0.0110	nan	0.3301	0.8906	0.7382	0.9163	0.0226	nan	0.4693	0.7236	0.0366	0.4918	0.1175	nan	0.0714	0.1174	0.6289	0.0004	0.5550	0.1377	0.0109	nan	0.2474	0.7723	0.5926	0.8775	0.0224
0.8804	17.0	1819	0.8449	0.1880	0.2364	0.7469	nan	0.6362	0.9253	0.0520	0.6823	0.1584	nan	0.1577	0.1390	0.8780	0.0026	0.8486	0.1245	0.0369	nan	0.3066	0.8929	0.7719	0.9258	0.0275	nan	0.4760	0.7428	0.0519	0.4758	0.1341	nan	0.1249	0.1357	0.6379	0.0026	0.5595	0.1182	0.0357	nan	0.2430	0.7648	0.6019	0.8847	0.0272
0.9119	18.0	1926	0.8442	0.1883	0.2337	0.7440	nan	0.5545	0.9571	0.0307	0.6722	0.1159	nan	0.0949	0.1900	0.8555	0.0060	0.8650	0.1562	0.0476	nan	0.3514	0.8868	0.7423	0.9178	0.0344	nan	0.4598	0.7162	0.0307	0.5036	0.1060	nan	0.0790	0.1833	0.6538	0.0060	0.5562	0.1457	0.0453	nan	0.2566	0.7741	0.5934	0.8810	0.0339
0.8439	19.0	2033	0.8258	0.1943	0.2418	0.7506	nan	0.6272	0.9333	0.0686	0.7064	0.1212	nan	0.0852	0.2087	0.8610	0.0176	0.8562	0.2182	0.0864	nan	0.3639	0.9026	0.7229	0.9242	0.0343	nan	0.4759	0.7390	0.0682	0.4958	0.1104	nan	0.0727	0.1986	0.6574	0.0176	0.5701	0.1967	0.0785	nan	0.2494	0.7729	0.5926	0.8872	0.0338
0.8426	20.0	2140	0.8210	0.2013	0.2494	0.7531	nan	0.6601	0.9316	0.0641	0.6892	0.1344	nan	0.1268	0.2805	0.8725	0.0274	0.8122	0.2648	0.1384	nan	0.3626	0.8925	0.7593	0.9316	0.0329	nan	0.4755	0.7411	0.0638	0.5217	0.1204	nan	0.1043	0.2638	0.6570	0.0274	0.5822	0.2314	0.1164	nan	0.2444	0.7680	0.5994	0.8913	0.0326
0.8681	21.0	2247	0.8143	0.2014	0.2499	0.7533	nan	0.6295	0.9286	0.1434	0.7057	0.1197	nan	0.1696	0.3045	0.8650	0.0306	0.8566	0.2309	0.0816	nan	0.3664	0.9134	0.6959	0.9245	0.0311	nan	0.4814	0.7447	0.1410	0.4948	0.1096	nan	0.1314	0.2842	0.6547	0.0306	0.5763	0.2069	0.0749	nan	0.2433	0.7707	0.5836	0.8870	0.0307
0.8259	22.0	2354	0.8106	0.2053	0.2554	0.7570	nan	0.7385	0.9077	0.1314	0.6683	0.1602	nan	0.1751	0.3005	0.8929	0.0369	0.8476	0.2122	0.0947	nan	0.3662	0.8792	0.7942	0.9286	0.0381	nan	0.4921	0.7537	0.1294	0.5387	0.1381	nan	0.1392	0.2784	0.6490	0.0369	0.5839	0.1941	0.0851	nan	0.2515	0.7683	0.6033	0.8915	0.0375
0.8295	23.0	2461	0.7949	0.2086	0.2574	0.7598	nan	0.6761	0.9246	0.1581	0.6660	0.1433	nan	0.2347	0.3485	0.8606	0.0439	0.8818	0.2449	0.0902	nan	0.3731	0.9052	0.7425	0.9094	0.0334	nan	0.4988	0.7536	0.1532	0.5251	0.1279	nan	0.1747	0.3149	0.6592	0.0438	0.5712	0.2170	0.0816	nan	0.2571	0.7771	0.6060	0.8817	0.0329
0.8144	24.0	2568	0.8120	0.2100	0.2628	0.7541	nan	0.7276	0.8833	0.1362	0.7265	0.1620	nan	0.2551	0.4031	0.8512	0.0506	0.8841	0.2155	0.1066	nan	0.3671	0.8777	0.8057	0.9128	0.0460	nan	0.4909	0.7508	0.1339	0.5053	0.1423	nan	0.1872	0.3481	0.6648	0.0506	0.5666	0.1972	0.0953	nan	0.2666	0.7771	0.6158	0.8811	0.0449
0.8323	25.0	2675	0.7945	0.2132	0.2644	0.7601	nan	0.6599	0.9313	0.1490	0.7026	0.1448	nan	0.2443	0.4097	0.8581	0.0550	0.8694	0.3000	0.1266	nan	0.3858	0.8680	0.7969	0.9139	0.0464	nan	0.4981	0.7520	0.1452	0.5156	0.1302	nan	0.1813	0.3552	0.6643	0.0550	0.5764	0.2510	0.1123	nan	0.2685	0.7811	0.6079	0.8817	0.0456
0.8291	26.0	2782	0.7954	0.2151	0.2685	0.7610	nan	0.7058	0.9137	0.1414	0.7305	0.1515	nan	0.2154	0.4642	0.8723	0.0902	0.8618	0.2806	0.1131	nan	0.4051	0.8694	0.7808	0.9332	0.0645	nan	0.5081	0.7584	0.1388	0.5027	0.1344	nan	0.1657	0.3881	0.6681	0.0901	0.5842	0.2399	0.1023	nan	0.2658	0.7802	0.6045	0.8898	0.0623
0.8578	27.0	2889	0.7828	0.2155	0.2666	0.7636	nan	0.6979	0.9291	0.1891	0.6705	0.1466	nan	0.2215	0.4398	0.8726	0.0942	0.8793	0.2315	0.1128	nan	0.4106	0.8789	0.7674	0.9354	0.0551	nan	0.5046	0.7595	0.1820	0.5276	0.1306	nan	0.1684	0.3720	0.6657	0.0941	0.5768	0.2053	0.1007	nan	0.2615	0.7875	0.6141	0.8932	0.0534
0.8143	28.0	2996	0.7903	0.2143	0.2664	0.7590	nan	0.6757	0.9201	0.1637	0.7175	0.1374	nan	0.1986	0.4715	0.8524	0.1151	0.8872	0.2162	0.1201	nan	0.3978	0.8732	0.7916	0.9285	0.0581	nan	0.4976	0.7533	0.1592	0.5010	0.1242	nan	0.1559	0.3907	0.6683	0.1148	0.5717	0.1951	0.1067	nan	0.2712	0.7854	0.6155	0.8895	0.0563
0.7667	29.0	3103	0.7804	0.2184	0.2708	0.7620	nan	0.6077	0.9472	0.1829	0.7083	0.1355	nan	0.2358	0.4920	0.8754	0.1249	0.8510	0.2923	0.1540	nan	0.4084	0.8815	0.7898	0.9207	0.0584	nan	0.4934	0.7487	0.1768	0.5170	0.1214	nan	0.1733	0.4021	0.6705	0.1242	0.5911	0.2509	0.1286	nan	0.2542	0.7800	0.6120	0.8887	0.0565
0.7807	30.0	3210	0.7843	0.2181	0.2708	0.7623	nan	0.7089	0.9141	0.1817	0.7105	0.1587	nan	0.2394	0.4539	0.8702	0.1214	0.8631	0.2609	0.1202	nan	0.4009	0.8725	0.8044	0.9249	0.0586	nan	0.5071	0.7583	0.1775	0.5129	0.1381	nan	0.1783	0.3849	0.6730	0.1209	0.5818	0.2295	0.1076	nan	0.2663	0.7821	0.6135	0.8908	0.0568
0.8129	31.0	3317	0.7753	0.2186	0.2683	0.7641	nan	0.6507	0.9403	0.1742	0.6896	0.1388	nan	0.2313	0.4255	0.8763	0.1237	0.8644	0.3179	0.1244	nan	0.3690	0.8781	0.7979	0.9189	0.0640	nan	0.5013	0.7526	0.1692	0.5340	0.1234	nan	0.1734	0.3679	0.6706	0.1232	0.5810	0.2661	0.1134	nan	0.2707	0.7825	0.6166	0.8876	0.0617
0.8264	32.0	3424	0.7794	0.2236	0.2786	0.7622	nan	0.7298	0.8914	0.1613	0.7334	0.1585	nan	0.2274	0.5010	0.8449	0.2137	0.8415	0.3002	0.1784	nan	0.4106	0.8961	0.8277	0.9299	0.0684	nan	0.5038	0.7614	0.1586	0.5056	0.1376	nan	0.1733	0.4097	0.6839	0.2098	0.5927	0.2553	0.1447	nan	0.2522	0.7766	0.6278	0.8960	0.0652
0.7543	33.0	3531	0.7661	0.2247	0.2777	0.7680	nan	0.6899	0.9307	0.1984	0.6882	0.1663	nan	0.2730	0.4549	0.8901	0.1841	0.8600	0.2759	0.1603	nan	0.4064	0.8683	0.8381	0.9275	0.0742	nan	0.5115	0.7647	0.1910	0.5502	0.1429	nan	0.1965	0.3876	0.6726	0.1809	0.5927	0.2431	0.1366	nan	0.2639	0.7770	0.6154	0.8944	0.0704
0.806	34.0	3638	0.7726	0.2235	0.2749	0.7638	nan	0.7221	0.8994	0.2261	0.7256	0.1693	nan	0.2520	0.4109	0.8656	0.2283	0.8546	0.2470	0.1604	nan	0.3813	0.9083	0.7606	0.9195	0.0644	nan	0.5041	0.7615	0.2166	0.5154	0.1467	nan	0.1839	0.3631	0.6762	0.2205	0.5879	0.2230	0.1341	nan	0.2631	0.7807	0.6222	0.8916	0.0618
0.7678	35.0	3745	0.7826	0.2224	0.2750	0.7615	nan	0.7282	0.8819	0.2213	0.7532	0.1804	nan	0.2398	0.4306	0.8583	0.2373	0.8898	0.2436	0.1279	nan	0.3922	0.9159	0.7111	0.9236	0.0632	nan	0.5028	0.7635	0.2118	0.5074	0.1551	nan	0.1794	0.3699	0.6655	0.2300	0.5716	0.2199	0.1154	nan	0.2755	0.7866	0.6109	0.8913	0.0608
0.7557	36.0	3852	0.7651	0.2237	0.2739	0.7657	nan	0.6388	0.9405	0.2089	0.7272	0.1503	nan	0.1706	0.4771	0.8687	0.2520	0.8513	0.3009	0.1457	nan	0.4062	0.9092	0.7288	0.9182	0.0714	nan	0.5015	0.7577	0.1985	0.5182	0.1335	nan	0.1388	0.4018	0.6729	0.2436	0.5861	0.2587	0.1279	nan	0.2682	0.7848	0.6088	0.8907	0.0677
0.7785	37.0	3959	0.7665	0.2290	0.2849	0.7674	nan	0.7251	0.8979	0.2133	0.7591	0.1545	nan	0.2153	0.5152	0.8768	0.2979	0.8587	0.3457	0.1563	nan	0.4122	0.8906	0.8060	0.9283	0.0653	nan	0.5076	0.7744	0.2056	0.5129	0.1375	nan	0.1651	0.4126	0.6698	0.2817	0.5872	0.2851	0.1377	nan	0.2744	0.7858	0.6325	0.8952	0.0625
0.7806	38.0	4066	0.7625	0.2297	0.2837	0.7680	nan	0.6427	0.9407	0.2145	0.7200	0.1384	nan	0.2625	0.5304	0.8621	0.3175	0.8337	0.3300	0.1681	nan	0.4252	0.8927	0.7916	0.9343	0.0752	nan	0.5014	0.7648	0.2047	0.5234	0.1241	nan	0.1851	0.4172	0.6869	0.2998	0.5937	0.2765	0.1457	nan	0.2551	0.7806	0.6204	0.9008	0.0711
0.7517	39.0	4173	0.7682	0.2275	0.2827	0.7641	nan	0.6403	0.9217	0.2089	0.7616	0.1339	nan	0.2453	0.4967	0.8657	0.3223	0.8636	0.3069	0.1574	nan	0.4191	0.8826	0.8172	0.9306	0.0737	nan	0.4980	0.7650	0.2009	0.4849	0.1215	nan	0.1794	0.4061	0.6794	0.3045	0.5843	0.2615	0.1398	nan	0.2750	0.7856	0.6267	0.8980	0.0702
0.7586	40.0	4280	0.7646	0.2305	0.2861	0.7670	nan	0.7037	0.8956	0.2242	0.7543	0.1819	nan	0.2716	0.4736	0.8918	0.3078	0.8495	0.3421	0.1494	nan	0.3961	0.9007	0.8054	0.9245	0.0816	nan	0.5110	0.7700	0.2107	0.4989	0.1526	nan	0.1993	0.4010	0.6709	0.2838	0.5889	0.2846	0.1330	nan	0.2762	0.7845	0.6387	0.8959	0.0772
0.7477	41.0	4387	0.7701	0.2297	0.2838	0.7650	nan	0.6051	0.9240	0.2283	0.7851	0.1430	nan	0.2358	0.4527	0.8947	0.3496	0.8528	0.3578	0.1667	nan	0.4111	0.9102	0.7344	0.9278	0.1037	nan	0.4981	0.7607	0.2125	0.4799	0.1285	nan	0.1772	0.3917	0.6704	0.3201	0.5905	0.2932	0.1421	nan	0.2782	0.7907	0.6231	0.8973	0.0950
0.7646	42.0	4494	0.7778	0.2315	0.2897	0.7600	nan	0.6279	0.8956	0.2223	0.8181	0.1623	nan	0.2370	0.4986	0.8883	0.3929	0.8557	0.3564	0.1667	nan	0.4246	0.8822	0.8201	0.9322	0.0908	nan	0.5018	0.7577	0.2095	0.4382	0.1421	nan	0.1799	0.4167	0.6818	0.3578	0.5927	0.2938	0.1466	nan	0.2804	0.7890	0.6347	0.8997	0.0846
0.806	43.0	4601	0.7572	0.2353	0.2910	0.7681	nan	0.6463	0.9240	0.2497	0.7539	0.1533	nan	0.2597	0.5330	0.8860	0.4103	0.8546	0.3119	0.1758	nan	0.4241	0.8891	0.8081	0.9233	0.1080	nan	0.5009	0.7613	0.2300	0.5171	0.1353	nan	0.1911	0.4264	0.6870	0.3719	0.5924	0.2689	0.1497	nan	0.2778	0.7900	0.6354	0.8960	0.0982
0.7116	44.0	4708	0.7592	0.2339	0.2902	0.7674	nan	0.6544	0.9144	0.2169	0.7799	0.1625	nan	0.2634	0.5162	0.8789	0.4164	0.8594	0.3182	0.1774	nan	0.4159	0.8911	0.8099	0.9268	0.0835	nan	0.5086	0.7682	0.2070	0.4811	0.1427	nan	0.1917	0.4197	0.6881	0.3750	0.5904	0.2695	0.1535	nan	0.2844	0.7918	0.6370	0.8980	0.0787
0.7624	45.0	4815	0.7678	0.2342	0.2923	0.7633	nan	0.6778	0.8816	0.2338	0.7850	0.1775	nan	0.2942	0.5146	0.8901	0.4185	0.8358	0.3204	0.1840	nan	0.4141	0.9231	0.7735	0.9300	0.0993	nan	0.5072	0.7645	0.2178	0.4584	0.1521	nan	0.2087	0.4270	0.6862	0.3706	0.5960	0.2701	0.1512	nan	0.2701	0.7850	0.6374	0.9005	0.0914
0.7656	46.0	4922	0.7623	0.2331	0.2896	0.7655	nan	0.6769	0.9081	0.2173	0.7622	0.1524	nan	0.2701	0.4936	0.8745	0.4167	0.8659	0.3050	0.1683	nan	0.4358	0.8791	0.8082	0.9379	0.0952	nan	0.5093	0.7624	0.2059	0.4811	0.1370	nan	0.1983	0.4101	0.6940	0.3786	0.5908	0.2585	0.1472	nan	0.2739	0.7910	0.6319	0.9022	0.0884
0.7671	47.0	5029	0.7585	0.2346	0.2894	0.7669	nan	0.6671	0.9157	0.2090	0.7528	0.1633	nan	0.2470	0.5159	0.8704	0.4418	0.8127	0.3478	0.1836	nan	0.4172	0.9128	0.7812	0.9359	0.0874	nan	0.5069	0.7626	0.1982	0.4836	0.1420	nan	0.1862	0.4281	0.6967	0.3959	0.5955	0.2867	0.1525	nan	0.2607	0.7879	0.6392	0.9030	0.0817
0.7611	48.0	5136	0.7774	0.2328	0.2918	0.7580	nan	0.6722	0.8737	0.2327	0.7818	0.1624	nan	0.2481	0.5021	0.8717	0.4238	0.8481	0.3549	0.2098	nan	0.4161	0.8995	0.8229	0.9286	0.0905	nan	0.5079	0.7527	0.2168	0.4299	0.1416	nan	0.1903	0.4145	0.6850	0.3796	0.5901	0.2824	0.1669	nan	0.2773	0.7886	0.6433	0.8993	0.0841
0.7033	49.0	5243	0.7705	0.2335	0.2897	0.7622	nan	0.6969	0.8882	0.2241	0.7723	0.1474	nan	0.2512	0.4709	0.8880	0.4351	0.8403	0.3312	0.1870	nan	0.4218	0.8978	0.7799	0.9305	0.1092	nan	0.5070	0.7569	0.2143	0.4535	0.1325	nan	0.1919	0.4043	0.6802	0.3894	0.5940	0.2747	0.1598	nan	0.2798	0.7947	0.6379	0.9003	0.0996
0.7595	50.0	5350	0.7542	0.2370	0.2934	0.7687	nan	0.6808	0.9109	0.2466	0.7463	0.1578	nan	0.2847	0.4803	0.8892	0.4431	0.8336	0.3302	0.1993	nan	0.4278	0.8958	0.8103	0.9327	0.1187	nan	0.5045	0.7660	0.2322	0.5041	0.1395	nan	0.2051	0.4108	0.6843	0.3931	0.5989	0.2760	0.1631	nan	0.2688	0.7922	0.6386	0.9010	0.1062
0.7373	51.0	5457	0.7685	0.2364	0.2941	0.7634	nan	0.6223	0.9068	0.2341	0.7854	0.1850	nan	0.2490	0.4935	0.8999	0.4738	0.8262	0.3702	0.2046	nan	0.4113	0.8989	0.7971	0.9385	0.1153	nan	0.4918	0.7604	0.2214	0.4558	0.1545	nan	0.1858	0.4185	0.6807	0.4100	0.6004	0.2990	0.1662	nan	0.2795	0.7927	0.6400	0.9037	0.1045
0.7191	52.0	5564	0.7646	0.2334	0.2871	0.7641	nan	0.5587	0.9330	0.2401	0.7931	0.1570	nan	0.2739	0.4616	0.8504	0.4370	0.8556	0.4103	0.1631	nan	0.3990	0.9154	0.7176	0.9259	0.0939	nan	0.4733	0.7587	0.2217	0.4880	0.1382	nan	0.1956	0.3944	0.6869	0.3898	0.5858	0.3115	0.1441	nan	0.2840	0.7933	0.6193	0.8983	0.0874

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Feb 25, 2025
Updated: Feb 26, 2025