segformer-finetuned-sidewalk-10k-steps

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

segformer-finetuned-sidewalk-10k-steps is a image segmentation model from smcenlly. 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: Jun 7, 2024
Updated: Jun 7, 2024
SHA: 33b0cd75

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: 0.6095
Mean Iou: 0.2881
Mean Accuracy: 0.3546
Overall Accuracy: 0.8313
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.7705
Accuracy Flat-sidewalk: 0.9498
Accuracy Flat-crosswalk: 0.1340
Accuracy Flat-cyclinglane: 0.8681
Accuracy Flat-parkingdriveway: 0.2555
Accuracy Flat-railtrack: nan
Accuracy Flat-curb: 0.5391
Accuracy Human-person: 0.7858
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.9234
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.8710
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8511
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.5804
Accuracy Construction-fenceguardrail: 0.4355
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.3931
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9126
Accuracy Nature-terrain: 0.8313
Accuracy Sky: 0.9633
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0209
Accuracy Void-static: 0.2608
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.6844
Iou Flat-sidewalk: 0.8516
Iou Flat-crosswalk: 0.0905
Iou Flat-cyclinglane: 0.6851
Iou Flat-parkingdriveway: 0.2043
Iou Flat-railtrack: nan
Iou Flat-curb: 0.3766
Iou Human-person: 0.5327
Iou Human-rider: 0.0
Iou Vehicle-car: 0.7630
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.6814
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.6784
Iou Construction-door: 0.0
Iou Construction-wall: 0.3576
Iou Construction-fenceguardrail: 0.3553
Iou Construction-bridge: 0.0
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.0
Iou Object-pole: 0.2718
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8160
Iou Nature-terrain: 0.7180
Iou Sky: 0.9227
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0191
Iou Void-static: 0.2111
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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-dynamic	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-dynamic	Iou Void-static
2.6286	1.0	107	1.8181	0.1171	0.1634	0.6717	nan	0.6306	0.9255	0.0	0.0094	0.0001	nan	0.0012	0.0	0.8679	0.0	0.7730	0.0057	0.0	nan	0.0	0.9381	0.3122	0.7647	0.0	0.0001	nan	0.4481	0.6987	0.0	0.0094	0.0001	nan	0.0012	0.0	0.4529	0.0	0.4526	0.0056	0.0	nan	0.0	0.6348	0.2923	0.7502	0.0	0.0001
1.8336	2.0	214	1.4625	0.1293	0.1823	0.6870	nan	0.7452	0.9141	0.0008	0.1033	0.0	nan	0.0020	0.0	0.8612	0.0	0.8218	0.0017	0.0	nan	0.0	0.7270	0.8431	0.8122	0.0	0.0	nan	0.4802	0.7308	0.0008	0.1016	0.0	nan	0.0020	0.0	0.5072	0.0	0.4932	0.0017	0.0	nan	0.0	0.6013	0.4276	0.7903	0.0	0.0
1.526	3.0	321	1.2558	0.1429	0.1939	0.7077	nan	0.6255	0.9446	0.0136	0.4912	0.0013	nan	0.0009	0.0	0.9019	0.0	0.8599	0.0000	0.0	nan	0.0	0.7262	0.7610	0.8796	0.0	0.0	nan	0.5088	0.7241	0.0136	0.4121	0.0013	nan	0.0009	0.0	0.5108	0.0	0.5052	0.0000	0.0	nan	0.0	0.6114	0.4509	0.8337	0.0	0.0
1.3177	4.0	428	1.1051	0.1528	0.1993	0.7276	nan	0.6192	0.9398	0.0	0.6093	0.0072	nan	0.0149	0.0	0.8931	0.0	0.8390	0.0001	0.0	nan	0.0	0.8639	0.6996	0.8917	0.0	0.0	nan	0.5043	0.7197	0.0	0.5088	0.0070	nan	0.0143	0.0	0.5535	0.0	0.5263	0.0001	0.0	nan	0.0	0.6828	0.5304	0.8431	0.0	0.0
1.192	5.0	535	1.0533	0.1591	0.2060	0.7356	nan	0.6333	0.9471	0.0071	0.6331	0.0518	nan	0.0512	0.0	0.8437	0.0	0.8791	0.0021	0.0	nan	0.0	0.8150	0.7926	0.9342	0.0	0.0000	nan	0.5301	0.7436	0.0070	0.5448	0.0450	nan	0.0453	0.0	0.6187	0.0	0.5282	0.0021	0.0	nan	0.0	0.6618	0.5167	0.8494	0.0	0.0000
1.1066	6.0	642	0.9737	0.1645	0.2153	0.7459	nan	0.7737	0.8898	0.0194	0.7187	0.0968	nan	0.0597	0.0	0.9025	0.0	0.8828	0.0082	0.0	nan	0.0	0.8544	0.7723	0.9125	0.0	0.0002	nan	0.5693	0.7770	0.0192	0.5704	0.0733	nan	0.0518	0.0	0.5623	0.0	0.5249	0.0082	0.0	nan	0.0	0.6853	0.5789	0.8442	0.0	0.0002
1.0345	7.0	749	0.9358	0.1641	0.2080	0.7484	nan	0.6676	0.9600	0.0015	0.5846	0.0333	nan	0.1226	0.0	0.8343	0.0	0.8947	0.0195	0.0	nan	0.0074	0.8678	0.7738	0.8896	0.0	0.0	nan	0.5882	0.7553	0.0014	0.5142	0.0322	nan	0.1033	0.0	0.6033	0.0	0.5328	0.0189	0.0	nan	0.0074	0.6840	0.5633	0.8454	0.0	0.0
0.9398	8.0	856	0.9636	0.1635	0.2096	0.7294	nan	0.5132	0.9711	0.0792	0.5573	0.0947	nan	0.1237	0.0	0.8577	0.0	0.9130	0.0729	0.0	nan	0.0297	0.7992	0.7867	0.9099	0.0	0.0000	nan	0.4766	0.7221	0.0628	0.4650	0.0834	nan	0.0990	0.0	0.6044	0.0	0.5367	0.0649	0.0	nan	0.0291	0.6904	0.5492	0.8475	0.0	0.0000
0.877	9.0	963	0.9514	0.1651	0.2131	0.7267	nan	0.4504	0.9665	0.0883	0.6428	0.0535	nan	0.1474	0.0	0.9087	0.0	0.8611	0.1287	0.0	nan	0.0728	0.8297	0.7927	0.8753	0.0	0.0025	nan	0.4186	0.7179	0.0694	0.5261	0.0506	nan	0.1086	0.0	0.5726	0.0	0.5563	0.1121	0.0	nan	0.0677	0.6842	0.5551	0.8429	0.0	0.0024
0.8582	10.0	1070	0.8750	0.1839	0.2417	0.7451	nan	0.6248	0.9409	0.2622	0.6829	0.1184	nan	0.3192	0.0660	0.9059	0.0	0.8449	0.3226	0.0	nan	0.1033	0.7591	0.8623	0.9142	0.0	0.0066	nan	0.5565	0.7807	0.1615	0.5223	0.0978	nan	0.1989	0.0649	0.6020	0.0	0.5934	0.2091	0.0	nan	0.0914	0.6305	0.5065	0.8613	0.0	0.0065
0.8174	11.0	1177	0.8511	0.1925	0.2406	0.7630	nan	0.6198	0.9537	0.1152	0.7450	0.0962	nan	0.2211	0.1179	0.8453	0.0	0.8332	0.3622	0.0	nan	0.1466	0.8842	0.8011	0.9317	0.0	0.0253	nan	0.5534	0.7652	0.0810	0.5479	0.0897	nan	0.1529	0.1052	0.6908	0.0	0.5975	0.2391	0.0	nan	0.1060	0.7168	0.6235	0.8676	0.0	0.0241
0.8053	12.0	1284	0.8258	0.1958	0.2465	0.7656	nan	0.5861	0.9566	0.1011	0.7279	0.1687	nan	0.2568	0.1789	0.8924	0.0	0.8964	0.3750	0.0001	nan	0.2163	0.8893	0.7173	0.9173	0.0	0.0083	nan	0.5385	0.7828	0.0763	0.5563	0.1347	nan	0.1770	0.1510	0.6499	0.0	0.5855	0.2200	0.0001	nan	0.1464	0.7486	0.6286	0.8615	0.0	0.0081
0.7937	13.0	1391	0.8232	0.2005	0.2562	0.7638	nan	0.5553	0.9526	0.1341	0.7287	0.1679	nan	0.3497	0.4409	0.8663	0.0	0.8407	0.2968	0.0011	nan	0.1930	0.9081	0.7888	0.9409	0.0	0.0349	nan	0.5081	0.7915	0.0925	0.5494	0.1468	nan	0.1990	0.2966	0.6470	0.0	0.5892	0.2040	0.0010	nan	0.1191	0.7203	0.6447	0.8744	0.0	0.0336
0.7716	14.0	1498	0.7484	0.2081	0.2618	0.7843	nan	0.7722	0.9215	0.1264	0.7666	0.1844	nan	0.3523	0.3594	0.9196	0.0	0.8831	0.2244	0.0188	nan	0.2140	0.9013	0.7828	0.9271	0.0	0.0247	nan	0.6323	0.8154	0.0948	0.6211	0.1478	nan	0.2139	0.2617	0.6203	0.0	0.6000	0.1854	0.0184	nan	0.1356	0.7443	0.6675	0.8759	0.0	0.0237
0.697	15.0	1605	0.7640	0.2154	0.2750	0.7820	nan	0.6800	0.9378	0.1242	0.7702	0.2647	nan	0.3212	0.5078	0.9206	0.0	0.8370	0.4683	0.0281	nan	0.2391	0.8975	0.7546	0.9374	0.0	0.1111	nan	0.5954	0.8154	0.0834	0.5941	0.1778	nan	0.2096	0.3168	0.6310	0.0	0.6256	0.2543	0.0276	nan	0.1788	0.7602	0.6507	0.8786	0.0	0.0922
0.7087	16.0	1712	0.7756	0.2143	0.2689	0.7783	nan	0.6356	0.9559	0.1393	0.7969	0.1327	nan	0.2887	0.4540	0.9110	0.0	0.8060	0.3380	0.1029	nan	0.2048	0.8951	0.7845	0.9515	0.0	0.2063	nan	0.5469	0.7997	0.0929	0.6084	0.1135	nan	0.1712	0.3306	0.6166	0.0	0.6291	0.2484	0.0982	nan	0.1616	0.7539	0.6542	0.8732	0.0	0.1599
0.7095	17.0	1819	0.7780	0.2134	0.2775	0.7724	nan	0.6105	0.9634	0.2158	0.6514	0.1226	nan	0.3240	0.6724	0.9104	0.0	0.8485	0.5700	0.0206	nan	0.2101	0.8578	0.7978	0.9248	0.0	0.1781	nan	0.5672	0.7839	0.1105	0.5158	0.1103	nan	0.2067	0.3594	0.6401	0.0	0.6241	0.2685	0.0198	nan	0.1755	0.7708	0.6613	0.8734	0.0	0.1423
0.6581	18.0	1926	0.7508	0.2171	0.2795	0.7801	nan	0.7706	0.9064	0.2124	0.6835	0.1403	nan	0.4551	0.6189	0.8718	0.0009	0.8914	0.4337	0.0635	nan	0.2098	0.8830	0.8179	0.9307	0.0	0.0544	nan	0.6302	0.8074	0.1203	0.5742	0.1166	nan	0.2470	0.3759	0.6507	0.0009	0.6008	0.2527	0.0586	nan	0.1727	0.7493	0.6594	0.8812	0.0	0.0496
0.6426	19.0	2033	0.7245	0.2188	0.2826	0.7828	nan	0.6460	0.9538	0.2403	0.7412	0.1362	nan	0.4466	0.6738	0.8529	0.0	0.8634	0.5070	0.0553	nan	0.2194	0.9065	0.7283	0.9258	0.0	0.1474	nan	0.5872	0.8063	0.1530	0.5897	0.1153	nan	0.2640	0.2673	0.7023	0.0	0.6152	0.2695	0.0521	nan	0.1736	0.7631	0.6394	0.8815	0.0	0.1230
0.6702	20.0	2140	0.7611	0.2146	0.2804	0.7730	nan	0.6534	0.9088	0.1364	0.8361	0.0680	nan	0.3070	0.6003	0.8907	0.0054	0.8747	0.4397	0.1578	nan	0.3142	0.8835	0.8413	0.9161	0.0	0.1389	nan	0.5790	0.7775	0.0943	0.5104	0.0628	nan	0.2177	0.2765	0.6749	0.0054	0.6273	0.2596	0.1387	nan	0.1920	0.7738	0.6739	0.8831	0.0	0.1208
0.6459	21.0	2247	0.6979	0.2327	0.2995	0.7935	nan	0.7089	0.9446	0.1698	0.7339	0.2010	nan	0.4253	0.7356	0.8986	0.0489	0.8166	0.5715	0.1877	nan	0.2962	0.8889	0.8529	0.9257	0.0	0.1778	nan	0.6276	0.8195	0.1146	0.6042	0.1517	nan	0.2476	0.3503	0.6861	0.0482	0.6283	0.2914	0.1585	nan	0.2180	0.7814	0.6855	0.8852	0.0	0.1496
0.6129	22.0	2354	0.6890	0.2361	0.3018	0.8011	nan	0.7559	0.9447	0.2162	0.7605	0.2859	nan	0.3558	0.7490	0.9139	0.0361	0.8660	0.4152	0.2028	nan	0.2883	0.8650	0.8445	0.9420	0.0	0.2157	nan	0.6661	0.8340	0.1244	0.6458	0.2020	nan	0.2536	0.3440	0.6636	0.0360	0.6166	0.2880	0.1800	nan	0.2161	0.7648	0.6666	0.8811	0.0	0.1736
0.587	23.0	2461	0.6791	0.2490	0.3175	0.8026	nan	0.7249	0.9426	0.1412	0.8048	0.2683	nan	0.4024	0.7341	0.8995	0.3563	0.7969	0.5959	0.2566	nan	0.3140	0.8977	0.8109	0.9393	0.0	0.2740	nan	0.6384	0.8359	0.0943	0.6255	0.1975	nan	0.2657	0.3433	0.7017	0.3341	0.6332	0.2868	0.2052	nan	0.2232	0.7927	0.6943	0.8923	0.0	0.2045
0.591	24.0	2568	0.6873	0.2347	0.3030	0.7947	nan	0.7352	0.9359	0.1105	0.8369	0.1648	nan	0.3745	0.7308	0.9372	0.1727	0.7772	0.4216	0.3084	nan	0.3076	0.8907	0.8103	0.9508	0.0	0.2295	nan	0.6287	0.8325	0.0757	0.5974	0.1304	nan	0.2501	0.3415	0.6188	0.1668	0.6259	0.2810	0.2333	nan	0.2182	0.7795	0.6710	0.8913	0.0	0.1671
0.5565	25.0	2675	0.6970	0.2425	0.3119	0.7951	nan	0.7627	0.9196	0.3318	0.8099	0.1691	nan	0.4192	0.7074	0.9130	0.1820	0.8595	0.4412	0.2585	nan	0.3007	0.8415	0.8706	0.9511	0.0	0.2416	nan	0.6508	0.8209	0.2078	0.6405	0.1411	nan	0.2586	0.3796	0.6485	0.1730	0.6181	0.2824	0.2301	nan	0.2300	0.7563	0.6375	0.8938	0.0	0.1909
0.5673	26.0	2782	0.6936	0.2464	0.3101	0.7956	nan	0.6847	0.9560	0.0266	0.6493	0.1651	nan	0.4754	0.7206	0.9053	0.4206	0.8428	0.5624	0.3126	nan	0.3289	0.8940	0.8233	0.9411	0.0	0.2145	nan	0.6067	0.8103	0.0212	0.5254	0.1418	nan	0.2812	0.4028	0.7105	0.3881	0.6410	0.3044	0.2496	nan	0.2443	0.7941	0.6923	0.8954	0.0	0.1761
0.5759	27.0	2889	0.6665	0.2521	0.3173	0.8104	nan	0.7732	0.9421	0.0875	0.7788	0.1832	nan	0.4080	0.7830	0.8985	0.3717	0.8734	0.4788	0.3323	nan	0.3734	0.8978	0.8224	0.9587	0.0	0.1901	nan	0.6721	0.8285	0.0644	0.6635	0.1458	nan	0.2751	0.3303	0.7125	0.3469	0.6399	0.3088	0.2740	nan	0.2524	0.7920	0.7042	0.8952	0.0	0.1605
0.5519	28.0	2996	0.6882	0.2494	0.3181	0.8030	nan	0.6854	0.9535	0.1770	0.8538	0.1942	nan	0.3966	0.7358	0.9037	0.3296	0.8041	0.6758	0.2825	nan	0.2941	0.8816	0.8495	0.9256	0.0	0.2358	nan	0.6237	0.8353	0.1117	0.6402	0.1595	nan	0.2749	0.3770	0.6903	0.3072	0.6350	0.2882	0.2358	nan	0.2300	0.7959	0.7063	0.8876	0.0	0.1837
0.5543	29.0	3103	0.6939	0.2562	0.3221	0.8003	nan	0.5953	0.9575	0.1294	0.8713	0.2264	nan	0.4049	0.7236	0.8913	0.5928	0.8923	0.4924	0.3422	nan	0.3405	0.8887	0.8011	0.9496	0.0	0.2076	nan	0.5561	0.8312	0.0831	0.6258	0.1713	nan	0.2404	0.3998	0.7266	0.5231	0.6360	0.3023	0.2928	nan	0.2467	0.8007	0.6943	0.9016	0.0	0.1682
0.539	30.0	3210	0.6745	0.2556	0.3208	0.8078	nan	0.6808	0.9574	0.1187	0.8040	0.2318	nan	0.4663	0.7716	0.9109	0.5974	0.8887	0.3730	0.2630	nan	0.3166	0.8920	0.8438	0.9532	0.0	0.1962	nan	0.6214	0.8387	0.0838	0.6456	0.1843	nan	0.2902	0.3659	0.7135	0.5120	0.6310	0.2731	0.2455	nan	0.2429	0.7802	0.6832	0.9058	0.0	0.1619
0.5517	31.0	3317	0.6675	0.2597	0.3320	0.8034	nan	0.7208	0.9193	0.2627	0.8866	0.1661	nan	0.3632	0.7967	0.9130	0.6360	0.8301	0.5332	0.2807	nan	0.3774	0.9068	0.8339	0.9590	0.0	0.2374	nan	0.6386	0.8266	0.1726	0.5421	0.1405	nan	0.2481	0.4136	0.6972	0.5330	0.6504	0.3249	0.2532	nan	0.2697	0.7994	0.7023	0.9021	0.0	0.1950
0.5111	32.0	3424	0.6563	0.2651	0.3346	0.8095	nan	0.7287	0.9359	0.1284	0.8389	0.2655	nan	0.4372	0.7783	0.9067	0.6431	0.8414	0.3977	0.3680	nan	0.4788	0.8987	0.8325	0.9500	0.0	0.2780	nan	0.6414	0.8299	0.0884	0.6024	0.2065	nan	0.2703	0.4066	0.7223	0.5560	0.6554	0.3017	0.3239	nan	0.2607	0.7939	0.6986	0.9078	0.0	0.2189
0.4945	33.0	3531	0.6428	0.2652	0.3290	0.8103	nan	0.7400	0.9456	0.1315	0.7854	0.2355	nan	0.4819	0.6784	0.9072	0.6235	0.8110	0.5156	0.4098	nan	0.3817	0.9075	0.8345	0.9478	0.0	0.1922	nan	0.6629	0.8240	0.0888	0.6027	0.1846	nan	0.3229	0.4525	0.6842	0.5536	0.6578	0.3255	0.3138	nan	0.2600	0.7950	0.7071	0.8974	0.0	0.1529
0.5566	34.0	3638	0.6430	0.2652	0.3343	0.8119	nan	0.7506	0.9485	0.1373	0.7617	0.2401	nan	0.5094	0.7984	0.8919	0.7165	0.8105	0.5638	0.3511	nan	0.3629	0.9171	0.7909	0.9522	0.0	0.1937	nan	0.6646	0.8310	0.0938	0.6654	0.1870	nan	0.3027	0.3954	0.7227	0.5810	0.6415	0.3167	0.2941	nan	0.2454	0.7938	0.6864	0.9048	0.0	0.1617
0.4937	35.0	3745	0.6567	0.2675	0.3356	0.8082	nan	0.7545	0.9241	0.1340	0.8054	0.2432	nan	0.5336	0.7489	0.9184	0.7152	0.8418	0.6014	0.3744	nan	0.3334	0.9021	0.7771	0.9489	0.0	0.1837	nan	0.6532	0.8199	0.0922	0.6511	0.1876	nan	0.2792	0.4810	0.7016	0.5924	0.6616	0.3433	0.3078	nan	0.2422	0.7996	0.6874	0.9074	0.0	0.1509
0.5153	36.0	3852	0.6487	0.2669	0.3347	0.8111	nan	0.6899	0.9487	0.1302	0.8613	0.1863	nan	0.4750	0.7652	0.9031	0.6507	0.8072	0.5373	0.4560	nan	0.3429	0.9169	0.8264	0.9579	0.0	0.2557	nan	0.6214	0.8292	0.0922	0.6469	0.1563	nan	0.2912	0.4294	0.7475	0.5577	0.6468	0.3131	0.3209	nan	0.2511	0.8035	0.7209	0.9071	0.0	0.2040
0.4799	37.0	3959	0.6417	0.2709	0.3385	0.8128	nan	0.7164	0.9375	0.1316	0.8677	0.2338	nan	0.4291	0.7674	0.8821	0.7224	0.8288	0.5695	0.3840	nan	0.3546	0.9239	0.7850	0.9592	0.0	0.3387	nan	0.6482	0.8243	0.0909	0.6552	0.1885	nan	0.2861	0.4622	0.7307	0.5758	0.6606	0.3390	0.3260	nan	0.2559	0.7939	0.6962	0.9086	0.0	0.2275
0.4863	38.0	4066	0.6544	0.2653	0.3296	0.8080	nan	0.7432	0.9174	0.1061	0.8839	0.1812	nan	0.3608	0.6850	0.8926	0.7417	0.8696	0.4454	0.3772	nan	0.3579	0.9243	0.7896	0.9503	0.0	0.3213	nan	0.6546	0.8262	0.0853	0.5395	0.1506	nan	0.2774	0.4358	0.7446	0.5958	0.6499	0.3286	0.3315	nan	0.2465	0.7906	0.6857	0.9119	0.0	0.2354
0.4924	39.0	4173	0.6366	0.2676	0.3353	0.8139	nan	0.8348	0.8993	0.1203	0.8621	0.2236	nan	0.4680	0.7511	0.9173	0.7338	0.8951	0.4269	0.3728	nan	0.3840	0.8954	0.8431	0.9483	0.0	0.1521	nan	0.7017	0.8287	0.0947	0.6259	0.1764	nan	0.2719	0.4769	0.7039	0.5897	0.6428	0.3148	0.3347	nan	0.2526	0.8029	0.7084	0.9057	0.0	0.1322
0.4888	40.0	4280	0.6359	0.2700	0.3366	0.8159	nan	0.7028	0.9550	0.1329	0.8665	0.2352	nan	0.4666	0.7618	0.9236	0.7581	0.8869	0.4960	0.4000	nan	0.3841	0.8872	0.7911	0.9617	0.0	0.1630	nan	0.6340	0.8422	0.0921	0.6435	0.1872	nan	0.3106	0.4853	0.7116	0.6024	0.6476	0.3429	0.3344	nan	0.2610	0.8079	0.6908	0.9049	0.0	0.1404
0.483	41.0	4387	0.6366	0.2693	0.3406	0.8126	nan	0.7171	0.9324	0.1344	0.8655	0.2242	nan	0.4717	0.7440	0.9005	0.7429	0.8466	0.6028	0.3963	nan	0.3660	0.8904	0.8841	0.9521	0.0	0.2270	nan	0.6429	0.8377	0.0920	0.6265	0.1774	nan	0.3087	0.4640	0.7265	0.5897	0.6584	0.3360	0.3145	nan	0.2553	0.7999	0.6916	0.9112	0.0	0.1841
0.5009	42.0	4494	0.6258	0.2710	0.3339	0.8183	nan	0.7555	0.9483	0.1454	0.8212	0.1967	nan	0.4535	0.6912	0.8826	0.7402	0.8792	0.5108	0.4389	nan	0.3686	0.9180	0.7769	0.9484	0.0	0.2080	nan	0.6616	0.8477	0.1026	0.6467	0.1621	nan	0.3080	0.4639	0.7380	0.6009	0.6392	0.3440	0.3440	nan	0.2535	0.7983	0.6804	0.9080	0.0	0.1744
0.4219	43.0	4601	0.6288	0.2719	0.3438	0.8167	nan	0.7323	0.9418	0.1150	0.7904	0.3300	nan	0.5284	0.8029	0.9075	0.7436	0.8522	0.5399	0.4230	nan	0.3909	0.8917	0.8602	0.9687	0.0000	0.1831	nan	0.6487	0.8395	0.0855	0.6434	0.2450	nan	0.3106	0.4472	0.7469	0.5633	0.6472	0.3279	0.3462	nan	0.2604	0.8074	0.7212	0.9040	0.0000	0.1569
0.4786	44.0	4708	0.6198	0.2760	0.3402	0.8214	nan	0.7436	0.9499	0.1392	0.7792	0.3171	nan	0.5137	0.7376	0.9098	0.7106	0.8936	0.4527	0.4079	nan	0.3822	0.8944	0.8624	0.9497	0.0	0.2424	nan	0.6681	0.8415	0.0922	0.6642	0.2266	nan	0.3429	0.4575	0.7339	0.5831	0.6422	0.3334	0.3469	nan	0.2604	0.8106	0.7247	0.9118	0.0	0.1917
0.4707	45.0	4815	0.6180	0.2747	0.3451	0.8199	nan	0.7173	0.9483	0.1182	0.8281	0.3361	nan	0.5437	0.7921	0.8841	0.7553	0.8626	0.4548	0.4455	nan	0.3826	0.9011	0.8459	0.9673	0.0001	0.2609	nan	0.6556	0.8428	0.0841	0.6664	0.2449	nan	0.3186	0.4486	0.7511	0.5700	0.6577	0.3207	0.3424	nan	0.2569	0.8038	0.7080	0.9087	0.0001	0.2085
0.4779	46.0	4922	0.6370	0.2721	0.3407	0.8173	nan	0.7184	0.9500	0.1183	0.8408	0.2093	nan	0.4735	0.7918	0.9066	0.7902	0.8807	0.5252	0.3672	nan	0.3848	0.8909	0.8341	0.9619	0.0	0.2590	nan	0.6536	0.8352	0.0857	0.6622	0.1713	nan	0.2987	0.4503	0.7568	0.5968	0.6392	0.3366	0.3266	nan	0.2634	0.8086	0.7051	0.9098	0.0	0.2081
0.4473	47.0	5029	0.6425	0.2713	0.3387	0.8133	nan	0.6994	0.9423	0.0690	0.8474	0.2233	nan	0.4301	0.7275	0.9012	0.8387	0.8716	0.4686	0.4532	nan	0.4030	0.9117	0.8222	0.9505	0.0064	0.2731	nan	0.6344	0.8294	0.0586	0.5998	0.1831	nan	0.3108	0.4896	0.7499	0.6183	0.6457	0.3075	0.3404	nan	0.2601	0.8108	0.7115	0.9146	0.0064	0.2109
0.473	48.0	5136	0.6422	0.2697	0.3360	0.8112	nan	0.6854	0.9420	0.1309	0.8273	0.2546	nan	0.5640	0.7386	0.9125	0.7923	0.8816	0.4047	0.3684	nan	0.3528	0.9236	0.7482	0.9633	0.0029	0.2587	nan	0.6186	0.8410	0.0933	0.6505	0.2030	nan	0.3017	0.4866	0.7350	0.6182	0.6326	0.2819	0.3208	nan	0.2567	0.7975	0.6717	0.9122	0.0029	0.2051
0.4241	49.0	5243	0.6255	0.2737	0.3387	0.8166	nan	0.7375	0.9367	0.1313	0.8636	0.2763	nan	0.5443	0.7194	0.8946	0.7436	0.8931	0.4677	0.3851	nan	0.3614	0.8977	0.7758	0.9657	0.0063	0.2369	nan	0.6546	0.8372	0.0888	0.6319	0.2170	nan	0.3243	0.4674	0.7569	0.6013	0.6424	0.3288	0.3391	nan	0.2665	0.8066	0.6834	0.9051	0.0062	0.2002
0.4681	50.0	5350	0.6196	0.2712	0.3393	0.8204	nan	0.8128	0.9339	0.1273	0.8327	0.2242	nan	0.4888	0.7883	0.9409	0.6982	0.8247	0.5636	0.3920	nan	0.3897	0.9191	0.7609	0.9612	0.0101	0.1876	nan	0.6913	0.8442	0.0932	0.6740	0.1778	nan	0.3092	0.4430	0.6827	0.5736	0.6605	0.3690	0.3381	nan	0.2675	0.7983	0.6753	0.9113	0.0100	0.1585
0.4074	51.0	5457	0.6271	0.2775	0.3439	0.8195	nan	0.7294	0.9401	0.1326	0.8529	0.2439	nan	0.5318	0.7294	0.9195	0.8128	0.8700	0.4981	0.3919	nan	0.3983	0.9130	0.8188	0.9577	0.0223	0.2417	nan	0.6655	0.8368	0.0844	0.6580	0.1969	nan	0.3341	0.4974	0.7287	0.6328	0.6460	0.3449	0.3422	nan	0.2711	0.8063	0.7061	0.9139	0.0216	0.1940
0.4509	52.0	5564	0.6222	0.2796	0.3433	0.8223	nan	0.7406	0.9468	0.1266	0.8702	0.2352	nan	0.4488	0.6973	0.9181	0.8190	0.8629	0.5565	0.4160	nan	0.3726	0.9052	0.8316	0.9539	0.0203	0.2652	nan	0.6646	0.8367	0.0931	0.6549	0.1878	nan	0.3129	0.4997	0.7531	0.6511	0.6638	0.3531	0.3372	nan	0.2675	0.8122	0.7163	0.9154	0.0194	0.2096

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Jun 7, 2024
Updated: Jun 7, 2024