segformer-b0-finetuned-segments-sidewalk-2

dwang-LI/segformer-b0-finetuned-segments-sidewalk-2

segformer-b0-finetuned-segments-sidewalk-2 is a image segmentation model from dwang-LI. 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: Sep 21, 2023
Updated: Sep 22, 2023
SHA: e0eb6fad

Base models

nvidia/mit-b2

Model card

From the Hugging Face model README

segformer-b0-finetuned-segments-sidewalk-2

This model is a fine-tuned version of nvidia/mit-b2 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

Loss: 0.7413
Mean Iou: 0.4159
Mean Accuracy: 0.4945
Overall Accuracy: 0.8774
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.8388
Accuracy Flat-sidewalk: 0.9573
Accuracy Flat-crosswalk: 0.8007
Accuracy Flat-cyclinglane: 0.8552
Accuracy Flat-parkingdriveway: 0.5279
Accuracy Flat-railtrack: nan
Accuracy Flat-curb: 0.7175
Accuracy Human-person: 0.8243
Accuracy Human-rider: 0.0845
Accuracy Vehicle-car: 0.9557
Accuracy Vehicle-truck: 0.1300
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.6660
Accuracy Vehicle-motorcycle: 0.0883
Accuracy Vehicle-bicycle: 0.7186
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0195
Accuracy Construction-building: 0.9361
Accuracy Construction-door: 0.1788
Accuracy Construction-wall: 0.6178
Accuracy Construction-fenceguardrail: 0.3916
Accuracy Construction-bridge: 0.5516
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.2882
Accuracy Object-pole: 0.6120
Accuracy Object-trafficsign: 0.5812
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9537
Accuracy Nature-terrain: 0.8377
Accuracy Sky: 0.9844
Accuracy Void-ground: 0.0132
Accuracy Void-dynamic: 0.2116
Accuracy Void-static: 0.4815
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.7575
Iou Flat-sidewalk: 0.8765
Iou Flat-crosswalk: 0.6860
Iou Flat-cyclinglane: 0.7491
Iou Flat-parkingdriveway: 0.4030
Iou Flat-railtrack: nan
Iou Flat-curb: 0.5916
Iou Human-person: 0.6521
Iou Human-rider: 0.0488
Iou Vehicle-car: 0.8662
Iou Vehicle-truck: 0.1122
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.4442
Iou Vehicle-motorcycle: 0.0883
Iou Vehicle-bicycle: 0.5874
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0193
Iou Construction-building: 0.7672
Iou Construction-door: 0.1600
Iou Construction-wall: 0.5304
Iou Construction-fenceguardrail: 0.3282
Iou Construction-bridge: 0.3920
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.2410
Iou Object-pole: 0.5084
Iou Object-trafficsign: 0.3941
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8872
Iou Nature-terrain: 0.7611
Iou Sky: 0.9529
Iou Void-ground: 0.0098
Iou Void-dynamic: 0.1155
Iou Void-static: 0.3780
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

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 Human-rider	Accuracy Vehicle-car	Accuracy Vehicle-truck	Accuracy Vehicle-bicycle	Accuracy Construction-building	Accuracy Construction-door	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-tunnel	Accuracy Construction-stairs	Accuracy Object-pole	Accuracy Object-trafficsign	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-ground	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 Human-rider	Iou Vehicle-car	Iou Vehicle-truck	Iou Vehicle-bicycle	Iou Construction-building	Iou Construction-door	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-tunnel	Iou Construction-stairs	Iou Object-pole	Iou Object-trafficsign	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-ground	Iou Void-dynamic	Iou Void-static
1.6058	0.1	20	2.0687	0.0800	0.1356	0.6081	nan	0.4527	0.9100	0.0	0.0	0.0027	nan	0.0016	0.0075	0.0	0.8602	0.0	0.0	0.9256	0.0	0.0197	0.0	nan	0.0	0.0	0.0	0.8878	0.0039	0.2678	0.0	0.0	0.0009	0.0	0.3225	0.6221	0.0	0.0	0.0027	0.0	0.0015	0.0075	0.0	0.4904	0.0	0.0	0.4424	0.0	0.0196	0.0	0.0	0.0	0.0	0.0	0.6175	0.0039	0.2675	0.0	0.0	0.0009
1.0866	0.2	40	1.2653	0.1408	0.1825	0.6924	nan	0.5482	0.9667	0.0	0.0	0.0041	nan	0.0008	0.0357	0.0	0.8373	0.0	0.0	0.9144	0.0	0.0653	0.0	nan	0.0	0.0022	0.0	0.9105	0.6945	0.8432	0.0	0.0	0.0178	nan	0.4138	0.6618	0.0	0.0	0.0041	nan	0.0008	0.0352	0.0	0.6599	0.0	0.0	0.5239	0.0	0.0645	0.0	nan	0.0	0.0022	0.0	0.7587	0.5554	0.8085	0.0	0.0	0.0172
0.8624	0.3	60	1.0931	0.1666	0.2119	0.7183	nan	0.5402	0.9777	0.0	0.2995	0.0167	nan	0.0017	0.1723	0.0	0.9303	0.0	0.0	0.8316	0.0	0.0853	0.0016	nan	0.0	0.2050	0.0	0.9005	0.8119	0.9414	0.0	0.0	0.0648	nan	0.4592	0.6670	0.0	0.2883	0.0163	nan	0.0017	0.1657	0.0	0.6319	0.0	0.0	0.5774	0.0	0.0838	0.0016	nan	0.0	0.1763	0.0	0.7505	0.5903	0.8594	0.0	0.0	0.0622
1.1933	0.4	80	0.9780	0.1780	0.2241	0.7326	nan	0.5494	0.9759	0.0	0.4403	0.0635	nan	0.0928	0.1458	0.0	0.9218	0.0	0.0	0.9418	0.0	0.1182	0.0043	nan	0.0	0.2582	0.0	0.8457	0.8430	0.9439	0.0	0.0	0.0278	nan	0.4827	0.6919	0.0	0.3890	0.0580	nan	0.0852	0.1389	0.0	0.6634	0.0	0.0	0.5628	0.0	0.1040	0.0043	nan	0.0	0.2140	0.0	0.7901	0.6139	0.8700	0.0	0.0	0.0276
0.8678	0.5	100	0.8980	0.2055	0.2559	0.7586	nan	0.7035	0.9240	0.0	0.5471	0.2248	nan	0.1919	0.4983	0.0	0.9434	0.0	0.0122	0.8942	0.0	0.1942	0.0415	nan	0.0	0.3669	0.0	0.9329	0.7145	0.9508	0.0	0.0	0.0486	nan	0.5343	0.7617	0.0	0.4561	0.1464	nan	0.1592	0.4375	0.0	0.6418	0.0	0.0122	0.5930	0.0	0.1698	0.0408	nan	0.0	0.2674	0.0	0.8039	0.6337	0.8700	0.0	0.0	0.0478
0.8691	0.6	120	0.8161	0.2164	0.2640	0.7752	nan	0.7915	0.9325	0.0	0.5391	0.2122	nan	0.1662	0.4892	0.0	0.8716	0.0	0.1287	0.9406	0.0	0.0777	0.1205	nan	0.0	0.3821	0.0	0.9227	0.8422	0.9483	0.0	0.0	0.0846	nan	0.5700	0.7869	0.0	0.4869	0.1733	nan	0.1470	0.3997	0.0	0.7279	0.0	0.1273	0.5747	0.0	0.0749	0.1087	nan	0.0	0.2806	0.0	0.8250	0.6766	0.8837	0.0	0.0	0.0806
0.5554	0.7	140	0.8194	0.2308	0.2859	0.7661	nan	0.5964	0.9383	0.0	0.5685	0.2664	nan	0.4518	0.6607	0.0	0.9273	0.0	0.1700	0.9297	0.0	0.2699	0.1437	nan	0.0	0.3847	0.0	0.9183	0.8642	0.9349	0.0	0.0	0.1238	nan	0.4999	0.7466	0.0	0.4657	0.1921	nan	0.2892	0.4987	0.0	0.7165	0.0	0.1661	0.6027	0.0	0.2471	0.1317	nan	0.0	0.2981	0.0	0.8326	0.6980	0.8876	0.0	0.0	0.1145
0.794	0.8	160	0.7478	0.2403	0.2971	0.7860	nan	0.6689	0.9516	0.0000	0.6487	0.2353	nan	0.2907	0.7860	0.0	0.9162	0.0	0.1873	0.8967	0.0	0.4288	0.1785	nan	0.0	0.3825	0.0	0.9359	0.8514	0.9644	0.0	0.0	0.1844	nan	0.5519	0.7755	0.0000	0.4870	0.1750	nan	0.2347	0.4389	0.0	0.7562	0.0	0.1836	0.6576	0.0	0.3686	0.1488	nan	0.0	0.3083	0.0	0.8332	0.7090	0.9028	0.0	0.0	0.1575
0.6339	0.9	180	0.7390	0.2411	0.2973	0.7876	nan	0.8110	0.9249	0.0209	0.5771	0.3073	nan	0.3368	0.7894	0.0	0.8493	0.0	0.5413	0.9288	0.0	0.1732	0.1312	nan	0.0	0.3136	0.0	0.9477	0.7834	0.9502	0.0	0.0	0.1273	nan	0.5789	0.8126	0.0209	0.4832	0.2278	nan	0.2592	0.3822	0.0	0.7646	0.0	0.4843	0.6012	0.0	0.1659	0.1198	nan	0.0	0.2735	0.0	0.8253	0.7060	0.8938	0.0	0.0	0.1164
0.8587	1.0	200	0.7084	0.2675	0.3230	0.8018	nan	0.7580	0.9389	0.3724	0.5680	0.3650	nan	0.3542	0.7193	0.0	0.9144	0.0	0.5573	0.9250	0.0	0.3356	0.2530	nan	0.0	0.2509	0.0	0.9308	0.8555	0.9539	0.0	0.0	0.2823	nan	0.6263	0.7931	0.3623	0.5008	0.2209	nan	0.2872	0.4916	0.0	0.7620	0.0	0.4623	0.6392	0.0	0.3075	0.1780	nan	0.0	0.2203	0.0	0.8510	0.7357	0.9055	0.0	0.0	0.2151
0.5614	1.1	220	0.7561	0.2601	0.3206	0.7938	nan	0.6713	0.9499	0.2579	0.6298	0.3682	nan	0.3742	0.7721	0.0	0.9318	0.0	0.5424	0.8845	0.0	0.4127	0.1613	nan	0.0	0.2406	0.0	0.9196	0.8874	0.9724	0.0	0.0	0.2822	nan	0.5910	0.7841	0.2544	0.4716	0.2352	nan	0.2894	0.4556	0.0	0.7663	0.0	0.4722	0.6528	0.0	0.3492	0.1422	nan	0.0	0.2133	0.0	0.8336	0.6845	0.9031	0.0	0.0	0.2248
0.6716	1.2	240	0.7154	0.2718	0.3453	0.7967	nan	0.6683	0.9515	0.6023	0.6991	0.3307	nan	0.4583	0.7933	0.0	0.9318	0.0	0.5865	0.8739	0.0	0.3943	0.2839	nan	0.0	0.4104	0.0	0.8423	0.9039	0.9740	0.0	0.0	0.3438	nan	0.6036	0.8231	0.5148	0.4430	0.2387	nan	0.3350	0.4530	0.0	0.7768	0.0	0.4575	0.6788	0.0	0.3633	0.1930	nan	0.0	0.3109	0.0	0.7773	0.5568	0.9052	0.0	0.0	0.2673
0.5977	1.3	260	0.6926	0.2792	0.3446	0.8034	nan	0.6946	0.9427	0.6251	0.5124	0.4221	nan	0.4001	0.8085	0.0	0.8952	0.0	0.5728	0.8277	0.0	0.6152	0.2122	nan	0.0	0.3902	0.0	0.9603	0.8804	0.9529	0.0	0.0	0.3160	nan	0.6006	0.7857	0.5078	0.4729	0.2514	nan	0.3110	0.4450	0.0	0.7790	0.0	0.4750	0.6803	0.0	0.4791	0.1668	nan	0.0	0.2995	0.0	0.8278	0.7035	0.9083	0.0	0.0	0.2401
0.323	1.4	280	0.6871	0.2769	0.3368	0.8095	nan	0.9001	0.8911	0.5783	0.5414	0.3860	nan	0.2742	0.7728	0.0	0.9198	0.0	0.5951	0.9161	0.0	0.3427	0.1982	nan	0.0	0.3783	0.0	0.9283	0.8808	0.9731	0.0	0.0	0.3014	nan	0.6163	0.8266	0.5474	0.4864	0.2627	nan	0.2177	0.4875	0.0	0.7824	0.0	0.4786	0.6533	0.0	0.3035	0.1736	nan	0.0	0.3035	0.0	0.8537	0.7231	0.9064	0.0	0.0	0.2376
0.4141	1.5	300	0.6476	0.2867	0.3494	0.8218	nan	0.7932	0.9491	0.6643	0.6611	0.2548	nan	0.4516	0.7783	0.0	0.9142	0.0	0.6078	0.8901	0.0	0.3304	0.2616	nan	0.0	0.4842	0.0	0.9445	0.7866	0.9691	0.0	0.0	0.4399	nan	0.6531	0.8299	0.5304	0.5258	0.2096	nan	0.3576	0.4954	0.0	0.7931	0.0	0.4708	0.6738	0.0	0.2988	0.1819	nan	0.0	0.3425	0.0	0.8504	0.7206	0.9123	0.0	0.0	0.3267
0.3646	1.6	320	0.6528	0.2763	0.3318	0.8139	nan	0.7482	0.9494	0.6282	0.6090	0.3414	nan	0.5601	0.7720	0.0	0.8964	0.0	0.5823	0.9521	0.0	0.2277	0.0532	nan	0.0	0.3867	0.0	0.9466	0.8266	0.9693	0.0	0.0	0.1695	nan	0.6420	0.8276	0.5175	0.5250	0.2451	nan	0.3864	0.5556	0.0	0.7824	0.0	0.5152	0.6083	0.0	0.2015	0.0523	nan	0.0	0.3181	0.0	0.8566	0.7311	0.9165	0.0	0.0	0.1596
0.9788	1.7	340	0.7683	0.2612	0.3304	0.7955	nan	0.5996	0.9751	0.3832	0.6502	0.2049	nan	0.4099	0.8274	0.0	0.9395	0.0	0.7249	0.9074	0.0	0.2946	0.1679	nan	0.0	0.4672	0.0	0.9432	0.8381	0.9654	0.0	0.0	0.2729	nan	0.5599	0.7533	0.3669	0.5210	0.1659	nan	0.3300	0.3950	0.0	0.7744	0.0	0.3063	0.6650	0.0	0.2691	0.1526	nan	0.0	0.3416	0.0	0.8595	0.7511	0.9171	0.0	0.0	0.2307
0.6605	1.8	360	0.6275	0.2884	0.3441	0.8263	nan	0.8420	0.9395	0.5045	0.6022	0.2955	nan	0.4330	0.7870	0.0	0.8991	0.0	0.6139	0.9320	0.0	0.5533	0.1601	nan	0.0	0.3684	0.0	0.9458	0.8448	0.9551	0.0	0.0	0.3342	nan	0.6410	0.8340	0.4894	0.5314	0.2450	nan	0.3572	0.4974	0.0	0.7906	0.0	0.4876	0.6881	0.0	0.4509	0.1472	nan	0.0	0.3078	0.0	0.8575	0.7292	0.9075	0.0	0.0	0.2676
0.7524	1.9	380	0.6273	0.2919	0.3560	0.8269	nan	0.8081	0.9440	0.6296	0.6118	0.3642	nan	0.4947	0.8006	0.0	0.9350	0.0	0.6406	0.8665	0.0	0.4322	0.1933	nan	0.0	0.3940	0.0	0.9558	0.8249	0.9678	0.0	0.0	0.5301	nan	0.6452	0.8301	0.5816	0.5276	0.2781	nan	0.3737	0.4358	0.0	0.7892	0.0	0.4562	0.6994	0.0	0.3982	0.1730	nan	0.0	0.3147	0.0	0.8553	0.7263	0.9197	0.0	0.0	0.3361
1.2079	2.0	400	0.6490	0.2897	0.3486	0.8215	nan	0.7698	0.9312	0.5400	0.7152	0.5081	nan	0.4067	0.7781	0.0	0.8939	0.0	0.6318	0.9512	0.0	0.4015	0.1934	nan	0.0	0.3986	0.0	0.9288	0.8495	0.9746	0.0	0.0	0.2818	nan	0.6377	0.8292	0.5056	0.5954	0.2895	nan	0.3449	0.5046	0.0	0.7963	0.0	0.5140	0.6506	0.0	0.3486	0.1627	nan	0.0	0.3316	0.0	0.8600	0.7487	0.9086	0.0	0.0	0.2415
0.405	2.1	420	0.6384	0.2937	0.3622	0.8234	nan	0.7031	0.9520	0.6652	0.7688	0.3272	nan	0.4249	0.7941	0.0	0.9555	0.0	0.6440	0.8782	0.0	0.5263	0.2536	nan	0.0	0.4750	0.0	0.9257	0.8877	0.9717	0.0	0.0204	0.4167	nan	0.6183	0.8256	0.5422	0.5549	0.2588	nan	0.3615	0.4897	0.0	0.7693	0.0	0.4770	0.6953	0.0	0.4538	0.1952	nan	0.0	0.3494	0.0	0.8578	0.7154	0.9221	0.0	0.0178	0.2943
0.3988	2.2	440	0.5934	0.2969	0.3613	0.8282	nan	0.8282	0.9065	0.6606	0.7416	0.4514	nan	0.3391	0.8057	0.0	0.9266	0.0	0.6561	0.9058	0.0	0.5015	0.2832	nan	0.0	0.3546	0.0	0.9493	0.8867	0.9751	0.0	0.0271	0.3634	nan	0.6390	0.8430	0.6169	0.5474	0.2994	nan	0.2954	0.4906	0.0	0.8041	0.0	0.4835	0.7002	0.0	0.4378	0.2141	nan	0.0	0.3096	0.0	0.8614	0.7253	0.9219	0.0	0.0236	0.2891
0.3143	2.3	460	0.6416	0.2938	0.3609	0.8219	nan	0.6598	0.9464	0.7305	0.7885	0.4049	nan	0.5647	0.7899	0.0	0.9416	0.0	0.6645	0.9118	0.0	0.3080	0.1446	nan	0.0	0.4547	0.0013	0.9516	0.8457	0.9714	0.0	0.0180	0.4518	nan	0.6057	0.8265	0.6098	0.5589	0.2849	nan	0.4108	0.5416	0.0	0.7952	0.0	0.4605	0.6670	0.0	0.2780	0.1332	nan	0.0	0.3446	0.0013	0.8621	0.7526	0.9232	0.0	0.0166	0.3277
0.2928	2.4	480	0.6131	0.2982	0.3799	0.8252	nan	0.8027	0.9202	0.7321	0.6574	0.5363	nan	0.4619	0.8093	0.0	0.9384	0.0	0.6897	0.7726	0.0	0.6742	0.3453	nan	0.0	0.5261	0.0073	0.9268	0.9278	0.9714	0.0	0.0291	0.4292	nan	0.6613	0.8264	0.5482	0.6088	0.3040	nan	0.3857	0.4958	0.0	0.7986	0.0	0.3815	0.6863	0.0	0.4553	0.2230	nan	0.0	0.3542	0.0072	0.8510	0.6960	0.9259	0.0	0.0247	0.3074
0.4599	2.5	500	0.6091	0.3002	0.3624	0.8349	nan	0.7736	0.9424	0.7071	0.7431	0.3981	nan	0.5366	0.7966	0.0	0.9173	0.0	0.6335	0.9459	0.0	0.4041	0.2116	nan	0.0	0.4241	0.0093	0.9330	0.9141	0.9820	0.0	0.0143	0.3110	nan	0.6768	0.8398	0.5669	0.6214	0.2799	nan	0.4125	0.5186	0.0	0.8087	0.0	0.4910	0.6632	0.0	0.3655	0.1828	nan	0.0	0.3481	0.0093	0.8663	0.7557	0.9166	0.0	0.0129	0.2718
0.4748	2.6	520	0.6341	0.2957	0.3561	0.8299	nan	0.8109	0.9485	0.4931	0.6152	0.3592	nan	0.5488	0.8282	0.0	0.9279	0.0	0.6551	0.9281	0.0	0.4952	0.1922	nan	0.0	0.4332	0.0063	0.9320	0.8761	0.9674	0.0	0.0217	0.3563	nan	0.6506	0.8292	0.4840	0.5546	0.2594	nan	0.4223	0.4598	0.0	0.8118	0.0	0.4897	0.6874	0.0	0.4248	0.1705	nan	0.0	0.3533	0.0063	0.8680	0.7591	0.9237	0.0	0.0187	0.2890
0.3089	2.7	540	0.6322	0.3046	0.3687	0.8342	nan	0.7583	0.9454	0.4860	0.7492	0.4990	nan	0.4709	0.8254	0.0	0.9293	0.0	0.6323	0.8981	0.0107	0.5664	0.2286	nan	0.0	0.4848	0.0162	0.9488	0.8615	0.9829	0.0	0.0939	0.4090	nan	0.6480	0.8330	0.4586	0.6005	0.3357	nan	0.3928	0.4786	0.0	0.8041	0.0	0.5014	0.7103	0.0106	0.4791	0.2035	nan	0.0	0.3768	0.0159	0.8618	0.7505	0.9134	0.0	0.0524	0.3200
1.2466	2.8	560	0.6182	0.3016	0.3657	0.8295	nan	0.8185	0.9364	0.4282	0.6726	0.4169	nan	0.5586	0.8235	0.0	0.9237	0.0	0.6627	0.9047	0.0223	0.4594	0.3392	nan	0.0	0.4488	0.0188	0.9480	0.7482	0.9804	0.0000	0.0888	0.5031	nan	0.6578	0.8283	0.4222	0.6020	0.3158	nan	0.4153	0.5162	0.0	0.8096	0.0	0.4946	0.7006	0.0211	0.4068	0.2277	nan	0.0	0.3612	0.0184	0.8493	0.6842	0.9195	0.0000	0.0515	0.3479
0.3471	2.9	580	0.6088	0.3130	0.3846	0.8405	nan	0.7740	0.9325	0.8216	0.7382	0.5086	nan	0.5655	0.8194	0.0	0.9507	0.0	0.6233	0.9001	0.0216	0.5836	0.3403	nan	0.0	0.3942	0.0267	0.9301	0.8750	0.9710	0.0	0.0167	0.5157	nan	0.6756	0.8458	0.4939	0.6495	0.3248	nan	0.4361	0.5502	0.0	0.7944	0.0	0.4773	0.7238	0.0215	0.4953	0.2605	nan	0.0	0.3396	0.0261	0.8604	0.7330	0.9247	0.0	0.0149	0.3694
0.447	3.0	600	0.6063	0.3064	0.3674	0.8408	nan	0.7719	0.9575	0.7510	0.7675	0.3209	nan	0.5208	0.8243	0.0	0.9409	0.0	0.6379	0.8865	0.0032	0.4287	0.1902	nan	0.0	0.4460	0.0301	0.9650	0.8454	0.9800	0.0000	0.0084	0.4821	nan	0.6733	0.8440	0.6036	0.6185	0.2724	nan	0.4230	0.4980	0.0	0.8106	0.0	0.5051	0.7000	0.0032	0.3955	0.1754	nan	0.0	0.3558	0.0298	0.8493	0.7531	0.9206	0.0000	0.0075	0.3646
0.3025	3.1	620	0.6267	0.3100	0.3841	0.8346	nan	0.7058	0.9394	0.7532	0.8210	0.4279	nan	0.5254	0.8072	0.0	0.9292	0.0	0.6649	0.8850	0.0367	0.6998	0.3119	nan	0.0	0.4649	0.0061	0.9281	0.8715	0.9689	0.0019	0.0069	0.5364	nan	0.6314	0.8461	0.5290	0.5602	0.3011	nan	0.4210	0.5059	0.0	0.8239	0.0	0.4858	0.7287	0.0366	0.5161	0.2431	nan	0.0	0.3731	0.0061	0.8683	0.7459	0.9288	0.0018	0.0063	0.3594
0.5402	3.2	640	0.6114	0.3148	0.3742	0.8413	nan	0.8162	0.9555	0.7193	0.6148	0.4400	nan	0.5070	0.8157	0.0	0.9328	0.0	0.6549	0.9089	0.0828	0.4958	0.3236	nan	0.0	0.3724	0.0483	0.9490	0.8336	0.9762	0.0	0.0212	0.5066	nan	0.6801	0.8399	0.6177	0.5636	0.3160	nan	0.4129	0.5409	0.0	0.8207	0.0	0.5088	0.7141	0.0751	0.4367	0.2617	nan	0.0	0.3152	0.0471	0.8678	0.7556	0.9279	0.0	0.0185	0.3540
0.3071	3.3	660	0.6226	0.3122	0.3814	0.8409	nan	0.7812	0.9437	0.7351	0.7543	0.4146	nan	0.5299	0.8407	0.0	0.9495	0.0	0.7120	0.9031	0.0202	0.4934	0.3704	nan	0.0	0.3671	0.0979	0.9470	0.8862	0.9775	0.0	0.0764	0.4034	nan	0.6701	0.8389	0.5992	0.6383	0.3214	nan	0.4274	0.5242	0.0	0.8016	0.0	0.4534	0.7129	0.0199	0.4292	0.2599	nan	0.0	0.2979	0.0930	0.8654	0.7525	0.9216	0.0	0.0545	0.3106
0.2812	3.4	680	0.5891	0.3154	0.3853	0.8385	nan	0.7691	0.9259	0.7320	0.7075	0.6098	nan	0.6156	0.8274	0.0	0.9228	0.0	0.6670	0.8950	0.0003	0.7067	0.2373	nan	0.0	0.3845	0.0771	0.9436	0.8482	0.9784	0.0002	0.0573	0.4248	nan	0.6809	0.8459	0.6360	0.6308	0.2685	nan	0.4481	0.5109	0.0	0.8121	0.0	0.4987	0.7307	0.0003	0.5476	0.1996	nan	0.0	0.3162	0.0746	0.8696	0.7530	0.9245	0.0002	0.0378	0.3082
0.4997	3.5	700	0.5982	0.3166	0.3801	0.8448	nan	0.8607	0.9301	0.7868	0.6661	0.4482	nan	0.5705	0.7812	0.0	0.9462	0.0	0.6700	0.9333	0.0002	0.4569	0.2193	nan	0.0	0.4467	0.1375	0.9381	0.8742	0.9743	0.0	0.0891	0.4326	nan	0.7075	0.8577	0.6178	0.5973	0.2946	nan	0.4482	0.5701	0.0	0.8044	0.0	0.4950	0.6931	0.0002	0.4124	0.1985	nan	0.0	0.3601	0.1275	0.8717	0.7650	0.9302	0.0	0.0483	0.3308
0.3472	3.6	720	0.6052	0.3213	0.3866	0.8432	nan	0.7653	0.9485	0.7447	0.7379	0.4858	nan	0.6064	0.8020	0.0	0.9290	0.0	0.6426	0.9297	0.0	0.6149	0.3437	nan	0.0	0.5040	0.1435	0.9358	0.8249	0.9786	0.0	0.1058	0.3279	nan	0.6746	0.8433	0.6430	0.6389	0.3082	nan	0.4471	0.5350	0.0	0.8149	0.0	0.5024	0.7226	0.0	0.4948	0.2599	nan	0.0	0.3883	0.1319	0.8688	0.7569	0.9257	0.0	0.0589	0.2650
0.4252	3.7	740	0.6622	0.3123	0.3891	0.8234	nan	0.6217	0.9484	0.7138	0.8309	0.4263	nan	0.5506	0.8600	0.0	0.9525	0.0	0.6234	0.8508	0.0084	0.5880	0.3145	nan	0.0	0.4943	0.2299	0.9380	0.9003	0.9850	0.0	0.2103	0.4036	nan	0.5607	0.8413	0.6569	0.4842	0.3210	nan	0.4427	0.4777	0.0	0.7951	0.0	0.4647	0.7209	0.0084	0.5126	0.2370	nan	0.0	0.3795	0.2061	0.8637	0.7505	0.9223	0.0	0.0647	0.2846
0.3308	3.8	760	0.6377	0.3127	0.3808	0.8289	nan	0.6214	0.9625	0.5946	0.8099	0.4454	nan	0.5188	0.8494	0.0	0.9136	0.0	0.6696	0.9263	0.0024	0.6152	0.2950	nan	0.0027	0.4453	0.1733	0.9520	0.8743	0.9699	0.0004	0.1977	0.3462	nan	0.5763	0.8251	0.5772	0.5411	0.3457	nan	0.4107	0.4836	0.0	0.8239	0.0	0.5117	0.7262	0.0024	0.5110	0.2294	nan	0.0026	0.3668	0.1574	0.8705	0.7696	0.9339	0.0004	0.0602	0.2801
0.4693	3.9	780	0.5859	0.3216	0.3778	0.8472	nan	0.7901	0.9565	0.7815	0.7387	0.4418	nan	0.5939	0.8066	0.0	0.9374	0.0	0.5633	0.9404	0.0047	0.4300	0.1846	nan	0.0062	0.5028	0.1681	0.9364	0.8907	0.9751	0.0	0.0659	0.3760	nan	0.6844	0.8378	0.6638	0.6608	0.3533	nan	0.4678	0.5651	0.0	0.8096	0.0	0.5098	0.7056	0.0047	0.4085	0.1746	nan	0.0060	0.3747	0.1550	0.8729	0.7620	0.9327	0.0	0.0350	0.3067
0.4175	4.0	800	0.5300	0.3304	0.3990	0.8474	nan	0.8728	0.9146	0.8169	0.6208	0.5492	nan	0.5932	0.8393	0.0	0.9432	0.0	0.6227	0.8618	0.0183	0.7515	0.3741	nan	0.0	0.4608	0.2043	0.9611	0.8383	0.9787	0.0	0.1044	0.4406	nan	0.7017	0.8579	0.6370	0.5716	0.3295	nan	0.4682	0.5922	0.0	0.8053	0.0	0.5317	0.7427	0.0183	0.5577	0.2733	nan	0.0	0.3651	0.1856	0.8612	0.7375	0.9269	0.0	0.0746	0.3346
0.2417	4.1	820	0.6240	0.3189	0.3775	0.8361	nan	0.8131	0.9538	0.7682	0.4531	0.4900	nan	0.5241	0.8388	0.0	0.9496	0.0	0.5933	0.9136	0.0182	0.4895	0.2692	nan	0.0003	0.4741	0.2422	0.9537	0.8414	0.9750	0.0	0.0438	0.4760	nan	0.6420	0.8400	0.6500	0.4374	0.3497	nan	0.4397	0.5665	0.0	0.8008	0.0	0.5243	0.7188	0.0182	0.4395	0.2415	nan	0.0003	0.3859	0.2129	0.8699	0.7533	0.9329	0.0	0.0325	0.3490
0.2375	4.2	840	0.5756	0.3343	0.4028	0.8498	nan	0.8028	0.9399	0.7560	0.8128	0.5208	nan	0.5758	0.8137	0.0	0.9266	0.0	0.6480	0.9155	0.0155	0.5142	0.4670	nan	0.0	0.4630	0.3347	0.9205	0.8892	0.9875	0.0	0.1196	0.4656	nan	0.7055	0.8568	0.6719	0.6537	0.3342	nan	0.4664	0.5856	0.0	0.8130	0.0	0.5293	0.7177	0.0154	0.4507	0.2814	nan	0.0	0.3815	0.2734	0.8704	0.7453	0.9204	0.0	0.0711	0.3540
0.4241	4.3	860	0.5682	0.3289	0.3927	0.8526	nan	0.8019	0.9477	0.7645	0.7864	0.4614	nan	0.6374	0.8213	0.0	0.9414	0.0	0.6449	0.9389	0.0015	0.5075	0.1875	nan	0.0060	0.4489	0.3299	0.9467	0.8621	0.9705	0.0	0.1149	0.4442	nan	0.7105	0.8518	0.6212	0.6864	0.3408	nan	0.4810	0.5663	0.0	0.8198	0.0	0.4875	0.7131	0.0015	0.4607	0.1773	nan	0.0057	0.3741	0.2755	0.8731	0.7626	0.9348	0.0	0.0422	0.3375
0.5282	4.4	880	0.6106	0.3241	0.3981	0.8456	nan	0.7704	0.9356	0.8287	0.8018	0.5745	nan	0.5025	0.7925	0.0	0.9564	0.0	0.6370	0.9097	0.0360	0.5623	0.4363	nan	0.0	0.4484	0.2753	0.9503	0.7920	0.9724	0.0009	0.1229	0.4328	nan	0.7081	0.8635	0.4271	0.6627	0.3582	nan	0.4362	0.6102	0.0	0.8004	0.0	0.4666	0.7321	0.0353	0.4640	0.2690	nan	0.0	0.3772	0.2455	0.8642	0.7079	0.9363	0.0009	0.0663	0.3381
0.3367	4.5	900	0.5852	0.3273	0.3859	0.8544	nan	0.8327	0.9558	0.6822	0.7709	0.3897	nan	0.6299	0.7857	0.0	0.9039	0.0	0.6906	0.9428	0.0104	0.4495	0.3420	nan	0.0	0.4741	0.2323	0.9426	0.8893	0.9785	0.0	0.0100	0.4372	nan	0.7217	0.8512	0.6538	0.6746	0.3280	nan	0.4868	0.5682	0.0	0.8238	0.0	0.4554	0.7065	0.0103	0.4132	0.2616	nan	0.0	0.3935	0.2107	0.8720	0.7465	0.9320	0.0	0.0089	0.3559
0.1462	4.6	920	0.5898	0.3302	0.3945	0.8517	nan	0.8338	0.9321	0.7807	0.7720	0.5273	nan	0.5959	0.8227	0.0	0.9378	0.0	0.7047	0.9415	0.0315	0.4600	0.3444	nan	0.0	0.4654	0.2423	0.9457	0.8191	0.9787	0.0002	0.0175	0.4721	nan	0.7254	0.8518	0.6417	0.6844	0.3375	nan	0.4761	0.5773	0.0	0.8160	0.0	0.4945	0.7011	0.0308	0.4212	0.2757	nan	0.0	0.3946	0.2157	0.8680	0.7422	0.9321	0.0002	0.0144	0.3644
0.4018	4.7	940	0.6261	0.3313	0.4006	0.8471	nan	0.7361	0.9560	0.8252	0.7443	0.4880	nan	0.5874	0.7623	0.0	0.9292	0.0	0.6837	0.9315	0.0560	0.5691	0.3433	nan	0.0	0.4978	0.3762	0.9313	0.9096	0.9814	0.0004	0.0463	0.4639	nan	0.6786	0.8459	0.4753	0.6694	0.3442	nan	0.4817	0.6111	0.0	0.8128	0.0	0.4944	0.7258	0.0547	0.4986	0.2692	nan	0.0	0.3990	0.3001	0.8752	0.7656	0.9259	0.0004	0.0314	0.3436
0.4323	4.8	960	0.6071	0.3369	0.4009	0.8527	nan	0.8909	0.9288	0.7706	0.7429	0.3946	nan	0.5634	0.8032	0.0	0.9419	0.0	0.6484	0.8991	0.1415	0.6081	0.2444	nan	0.0739	0.5198	0.4198	0.9632	0.7166	0.9803	0.0110	0.0255	0.5409	nan	0.7203	0.8627	0.6071	0.6653	0.3017	nan	0.4226	0.5991	0.0	0.8170	0.0	0.4908	0.7391	0.1318	0.5113	0.2209	nan	0.0611	0.4137	0.3238	0.8530	0.6852	0.9328	0.0093	0.0178	0.3944
0.2333	4.9	980	0.6312	0.3291	0.4049	0.8368	nan	0.6661	0.9599	0.7668	0.8162	0.4021	nan	0.5460	0.8279	0.0	0.9377	0.0	0.6167	0.8637	0.0490	0.7147	0.3548	nan	0.0487	0.4632	0.4447	0.9449	0.8856	0.9798	0.0024	0.2556	0.4098	nan	0.6061	0.8459	0.6123	0.5262	0.3227	nan	0.4682	0.5298	0.0	0.8213	0.0	0.4777	0.7401	0.0488	0.5668	0.2560	nan	0.0474	0.3885	0.3212	0.8738	0.7688	0.9317	0.0021	0.0662	0.3102
0.322	5.0	1000	0.5919	0.3324	0.3983	0.8527	nan	0.8795	0.9454	0.7501	0.6501	0.4403	nan	0.6006	0.8655	0.0	0.9171	0.0	0.6457	0.9125	0.0151	0.4907	0.2739	nan	0.0	0.5307	0.4038	0.9539	0.8585	0.9824	0.0017	0.2231	0.4063	nan	0.7358	0.8591	0.6885	0.6124	0.2908	nan	0.4820	0.5026	0.0	0.8247	0.0	0.5430	0.7227	0.0151	0.4502	0.2349	nan	0.0	0.4150	0.3229	0.8710	0.7707	0.9332	0.0017	0.0580	0.3015
0.3299	5.1	1020	0.5630	0.3381	0.4067	0.8554	nan	0.8362	0.9417	0.7732	0.7712	0.4461	nan	0.6305	0.8050	0.0042	0.9430	0.0011	0.6503	0.9244	0.0045	0.5766	0.3341	nan	0.0	0.5153	0.4275	0.9401	0.8734	0.9810	0.0002	0.2593	0.3754	nan	0.7239	0.8683	0.6261	0.6428	0.3037	nan	0.5023	0.6126	0.0030	0.8145	0.0011	0.5157	0.7251	0.0044	0.4858	0.2659	nan	0.0	0.4109	0.3378	0.8759	0.7719	0.9339	0.0002	0.0783	0.3135
0.2486	5.2	1040	0.5781	0.3354	0.4008	0.8553	nan	0.8114	0.9444	0.7999	0.8031	0.4525	nan	0.5980	0.7806	0.0264	0.9194	0.0031	0.6433	0.9335	0.0814	0.5906	0.2020	nan	0.0002	0.4619	0.4333	0.9473	0.8681	0.9758	0.0013	0.0796	0.4692	nan	0.7074	0.8746	0.5776	0.6471	0.3072	nan	0.4838	0.5905	0.0113	0.8288	0.0031	0.5141	0.7319	0.0772	0.4996	0.1780	nan	0.0002	0.3924	0.3248	0.8743	0.7747	0.9360	0.0012	0.0425	0.3553

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Sep 21, 2023
Updated: Sep 22, 2023