segformer-finetuned-sidewalk-10k-steps

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

segformer-finetuned-sidewalk-10k-steps is a image segmentation model from Seonggon. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

479

Public

Parameters

27.4M

10.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors110 MB · 99%

At a glance

Task: Image Segmentation
Library: transformers
License: other
Model type: segformer
Access: Public
Created: Nov 1, 2024
Updated: Nov 3, 2024
SHA: fed6420d

Base models

nvidia/mit-b2

Model card

From the Hugging Face model README

segformer-finetuned-sidewalk-10k-steps

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: 0.6343
Mean Iou: 0.3675
Mean Accuracy: 0.4554
Overall Accuracy: 0.8499
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.9433
Accuracy Flat-sidewalk: 0.7564
Accuracy Flat-crosswalk: 0.8913
Accuracy Flat-cyclinglane: 0.3568
Accuracy Flat-parkingdriveway: nan
Accuracy Flat-railtrack: 0.6624
Accuracy Flat-curb: 0.6380
Accuracy Human-person: 0.6670
Accuracy Human-rider: 0.9602
Accuracy Vehicle-car: 0.0
Accuracy Vehicle-truck: 0.7202
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.8125
Accuracy Vehicle-bicycle: 0.0
Accuracy Vehicle-caravan: 0.0394
Accuracy Vehicle-cartrailer: 0.8794
Accuracy Construction-building: 0.0198
Accuracy Construction-door: 0.6460
Accuracy Construction-wall: 0.4446
Accuracy Construction-fenceguardrail: 0.15
Accuracy Construction-bridge: nan
Accuracy Construction-tunnel: 0.0324
Accuracy Construction-stairs: 0.6618
Accuracy Object-pole: 0.3908
Accuracy Object-trafficsign: 0.0155
Accuracy Object-trafficlight: 0.9407
Accuracy Nature-vegetation: 0.7856
Accuracy Nature-terrain: 0.9523
Accuracy Sky: 0.0001
Accuracy Void-ground: 0.4305
Accuracy Void-dynamic: 0.3187
Accuracy Void-static: 0.0
Accuracy Void-unclear: nan
Iou Unlabeled: 0.0
Iou Flat-road: 0.8597
Iou Flat-sidewalk: 0.7477
Iou Flat-crosswalk: 0.7475
Iou Flat-cyclinglane: 0.3261
Iou Flat-parkingdriveway: nan
Iou Flat-railtrack: 0.5300
Iou Flat-curb: 0.5338
Iou Human-person: 0.3441
Iou Human-rider: 0.8786
Iou Vehicle-car: 0.0
Iou Vehicle-truck: 0.6854
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.6862
Iou Vehicle-bicycle: 0.0
Iou Vehicle-caravan: 0.0302
Iou Vehicle-cartrailer: 0.7283
Iou Construction-building: 0.0198
Iou Construction-door: 0.4970
Iou Construction-wall: 0.3062
Iou Construction-fenceguardrail: 0.0139
Iou Construction-bridge: nan
Iou Construction-tunnel: 0.0288
Iou Construction-stairs: 0.4300
Iou Object-pole: 0.3498
Iou Object-trafficsign: 0.0155
Iou Object-trafficlight: 0.8365
Iou Nature-vegetation: 0.7142
Iou Nature-terrain: 0.9339
Iou Sky: 0.0001
Iou Void-ground: 0.2573
Iou Void-dynamic: 0.2598
Iou Void-static: 0.0
Iou Void-unclear: nan

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 Human-rider	Accuracy Vehicle-car	Accuracy Vehicle-truck	Accuracy Vehicle-motorcycle	Accuracy Vehicle-caravan	Accuracy Vehicle-cartrailer	Accuracy Construction-building	Accuracy Construction-door	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-bridge	Accuracy Construction-tunnel	Accuracy Construction-stairs	Accuracy Object-pole	Accuracy Object-trafficlight	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-ground	Accuracy Void-dynamic	Accuracy Void-unclear	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-motorcycle	Iou Vehicle-caravan	Iou Vehicle-cartrailer	Iou Construction-building	Iou Construction-door	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-bridge	Iou Construction-tunnel	Iou Construction-stairs	Iou Object-pole	Iou Object-trafficlight	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-ground	Iou Void-dynamic	Iou Void-unclear
1.6022	1.0	107	1.1070	0.1500	0.2002	0.7201	nan	0.9618	0.0	0.2737	0.1123	nan	0.0529	0.0265	0.0	0.9254	0.0	0.0	0.0	0.0	0.8882	0.0	0.0713	0.0416	0.0	nan	0.0	0.3574	0.0	0.7896	0.7885	0.9139	0.0	0.0	0.0028	nan	0.7325	0.0	0.2694	0.0973	nan	0.0494	0.0262	0.0	0.7046	0.0	0.0	0.0	0.0	0.5598	0.0	0.0635	0.0402	0.0	nan	0.0	0.2539	0.0	0.6949	0.4728	0.8315	0.0	0.0	0.0028	nan
0.9301	2.0	214	0.9070	0.1912	0.2461	0.7569	nan	0.9635	0.0897	0.4954	0.1958	nan	0.2859	0.2844	0.0	0.9124	0.0	0.0	0.0429	0.0	0.8211	0.0	0.4868	0.0700	0.0	nan	0.0	0.3948	0.0	0.8468	0.8058	0.8470	0.0	0.0	0.0883	nan	0.7896	0.0893	0.4704	0.1734	nan	0.2320	0.2401	0.0	0.7492	0.0	0.0	0.0427	0.0	0.6045	0.0	0.2655	0.0677	0.0	nan	0.0	0.2813	0.0	0.7204	0.5083	0.8128	0.0	0.0	0.0709	nan
0.7994	3.0	321	0.8534	0.2395	0.3170	0.7244	nan	0.7667	0.5689	0.6677	0.2106	nan	0.4606	0.5813	0.0	0.9205	0.0	0.0	0.6979	0.0	0.8134	0.0	0.7302	0.1132	0.0	nan	0.0	0.5160	0.0	0.8711	0.7628	0.9147	0.0	0.0	0.2300	nan	0.7105	0.5559	0.3414	0.1969	nan	0.3254	0.4346	0.0	0.7703	0.0	0.0	0.5551	0.0	0.6301	0.0	0.3736	0.1026	0.0	nan	0.0	0.2923	0.0	0.7750	0.5868	0.8520	0.0	0.0	0.1632	nan
0.7357	4.0	428	0.7647	0.2468	0.3176	0.7854	nan	0.9232	0.4187	0.6936	0.1583	nan	0.4846	0.6518	0.0	0.9273	0.0	0.0	0.7173	0.0	0.8418	0.0	0.2601	0.4278	0.0	nan	0.0	0.5128	0.0	0.9203	0.7437	0.9500	0.0	0.0	0.2147	nan	0.8051	0.4145	0.4922	0.1514	nan	0.3480	0.4531	0.0	0.7834	0.0	0.0	0.5719	0.0	0.6493	0.0	0.2366	0.2527	0.0	nan	0.0	0.3215	0.0	0.7749	0.5996	0.8820	0.0	0.0	0.1601	nan
0.6759	5.0	535	0.6861	0.2687	0.3428	0.8097	nan	0.9444	0.7878	0.6661	0.3059	nan	0.5740	0.6343	0.0	0.9455	0.0	0.0	0.8084	0.0	0.8351	0.0	0.4663	0.3083	0.0	nan	0.0	0.5218	0.0	0.8870	0.7729	0.9556	0.0	0.0	0.2139	nan	0.8359	0.7687	0.6082	0.2650	nan	0.3938	0.4628	0.0	0.7794	0.0	0.0	0.5119	0.0	0.6569	0.0	0.3703	0.2213	0.0	nan	0.0	0.3007	0.0	0.7807	0.6051	0.8789	0.0	0.0	0.1596	nan
0.6261	6.0	642	0.7037	0.2577	0.3296	0.8043	nan	0.9668	0.5259	0.6403	0.2319	nan	0.4815	0.7200	0.0	0.9228	0.0	0.0	0.8106	0.0	0.7897	0.0	0.5976	0.3279	0.0	nan	0.0	0.4774	0.0	0.9255	0.7253	0.9390	0.0	0.0477	0.0870	nan	0.8221	0.5232	0.5481	0.2158	nan	0.3735	0.4330	0.0	0.7970	0.0	0.0	0.5591	0.0	0.6471	0.0	0.3474	0.2365	0.0	nan	0.0	0.3293	0.0	0.7917	0.6184	0.8946	0.0	0.0356	0.0739	nan
0.6257	7.0	749	0.6705	0.2613	0.3382	0.7880	nan	0.9338	0.4636	0.6204	0.2743	nan	0.3265	0.6779	0.0	0.9238	0.0	0.0	0.8088	0.0	0.8497	0.0	0.4536	0.5086	0.0	nan	0.0	0.6074	0.0	0.8327	0.8925	0.9179	0.0	0.0031	0.3893	nan	0.8391	0.4630	0.5660	0.2598	nan	0.2855	0.4437	0.0	0.8182	0.0	0.0	0.5744	0.0	0.6800	0.0	0.3728	0.2910	0.0	nan	0.0	0.3161	0.0	0.7671	0.5547	0.8865	0.0	0.0029	0.2408	nan
0.5756	8.0	856	0.6755	0.2701	0.3502	0.8143	nan	0.9243	0.5467	0.8725	0.4110	nan	0.4982	0.7183	0.0	0.9381	0.0	0.0	0.7800	0.0	0.7558	0.0	0.7804	0.1822	0.0	nan	0.0	0.6244	0.0	0.9315	0.7312	0.9468	0.0	0.0096	0.2054	nan	0.8374	0.5461	0.6290	0.3425	nan	0.3822	0.4531	0.0	0.8072	0.0	0.0	0.5871	0.0	0.6475	0.0	0.3827	0.1523	0.0	nan	0.0	0.3392	0.0	0.8128	0.6482	0.9040	0.0	0.0093	0.1625	nan
0.5178	9.0	963	0.6938	0.2617	0.3422	0.8001	nan	0.9209	0.3083	0.8114	0.2825	nan	0.5969	0.7090	0.0003	0.9384	0.0	0.0	0.7464	0.0	0.7608	0.0	0.7192	0.3846	0.0	nan	0.0	0.5296	0.0	0.9120	0.8051	0.9309	0.0	0.0488	0.2031	nan	0.8147	0.3075	0.5929	0.2549	nan	0.3899	0.4547	0.0003	0.8217	0.0	0.0	0.5603	0.0	0.6475	0.0	0.4225	0.2297	0.0	nan	0.0	0.3504	0.0	0.8122	0.6536	0.8964	0.0	0.0209	0.1430	nan
0.5347	10.0	1070	0.6228	0.2827	0.3490	0.8179	nan	0.9316	0.6025	0.7417	0.4454	nan	0.4567	0.6594	0.0034	0.9458	0.0	0.0	0.7044	0.0	0.8461	0.0	0.6370	0.2998	0.0	nan	0.0	0.6029	0.0245	0.9374	0.7536	0.8699	0.0	0.0	0.3556	nan	0.8376	0.6005	0.6208	0.3815	nan	0.3965	0.4879	0.0034	0.8057	0.0	0.0	0.5801	0.0	0.6806	0.0	0.4786	0.2273	0.0	nan	0.0	0.3563	0.0244	0.8138	0.6530	0.8542	0.0	0.0	0.2443	nan
0.514	11.0	1177	0.6270	0.2870	0.3622	0.8274	nan	0.9540	0.6752	0.8104	0.2577	nan	0.5477	0.7275	0.0006	0.9112	0.0	0.0	0.7903	0.0	0.8351	0.0	0.7140	0.2913	0.0	nan	0.0	0.5891	0.1469	0.9076	0.8225	0.9537	0.0	0.0209	0.2737	nan	0.8495	0.6395	0.6647	0.2412	nan	0.4306	0.4726	0.0006	0.8387	0.0	0.0	0.6160	0.0	0.6835	0.0	0.4677	0.2019	0.0	nan	0.0	0.3336	0.1439	0.8219	0.6744	0.9065	0.0	0.0152	0.1820	nan
0.4732	12.0	1284	0.6651	0.2832	0.3648	0.8037	nan	0.8599	0.6997	0.9036	0.3867	nan	0.5753	0.6243	0.0300	0.9377	0.0	0.0	0.8160	0.0	0.8907	0.0	0.6811	0.2742	0.0	nan	0.0	0.5792	0.1662	0.8867	0.8625	0.9145	0.0	0.0220	0.1973	nan	0.8016	0.6500	0.5033	0.3477	nan	0.4147	0.4963	0.0297	0.8355	0.0	0.0	0.5920	0.0	0.6789	0.0	0.4632	0.1923	0.0	nan	0.0	0.3469	0.1635	0.8208	0.6565	0.8915	0.0	0.0167	0.1619	nan
0.4749	13.0	1391	0.5980	0.2969	0.3730	0.8213	nan	0.9115	0.6450	0.8883	0.3859	nan	0.5908	0.6537	0.1106	0.9518	0.0	0.0	0.8234	0.0	0.8701	0.0	0.5025	0.4170	0.0	nan	0.0	0.5641	0.1475	0.8953	0.8599	0.9468	0.0	0.1641	0.2345	nan	0.8394	0.6371	0.6736	0.3485	nan	0.4371	0.5176	0.1034	0.8253	0.0	0.0	0.5917	0.0	0.6941	0.0	0.4181	0.2753	0.0	nan	0.0	0.3507	0.1451	0.8165	0.6635	0.9107	0.0	0.0682	0.1844	nan
0.4955	14.0	1498	0.7432	0.2679	0.3458	0.7577	nan	0.7828	0.6273	0.8789	0.1947	nan	0.3619	0.7261	0.0027	0.9464	0.0	0.0	0.8375	0.0	0.8636	0.0	0.5355	0.3965	0.0	nan	0.0	0.5341	0.0938	0.9174	0.8332	0.9287	0.0	0.0222	0.2363	nan	0.7331	0.6181	0.4369	0.1849	nan	0.3319	0.4764	0.0027	0.8169	0.0	0.0	0.6228	0.0	0.6769	0.0	0.4157	0.2231	0.0	nan	0.0	0.3448	0.0929	0.8151	0.6785	0.9044	0.0	0.0154	0.1817	nan
0.4472	15.0	1605	0.6161	0.2876	0.3542	0.8241	nan	0.9441	0.6902	0.8482	0.2375	nan	0.4030	0.6803	0.0320	0.9348	0.0	0.0	0.7919	0.0	0.8605	0.0	0.7350	0.2766	0.0	nan	0.0	0.5068	0.2137	0.9346	0.7397	0.9448	0.0003	0.0244	0.1823	nan	0.8373	0.6330	0.6741	0.2277	nan	0.3624	0.5013	0.0313	0.8460	0.0	0.0	0.6188	0.0	0.6891	0.0	0.4372	0.2056	0.0	nan	0.0	0.3582	0.2031	0.8219	0.6709	0.9110	0.0003	0.0222	0.1512	nan
0.4254	16.0	1712	0.6267	0.2934	0.3581	0.8289	nan	0.9681	0.7145	0.8729	0.1818	nan	0.4696	0.6773	0.0266	0.9390	0.0	0.0	0.7785	0.0	0.9082	0.0	0.5048	0.3031	0.0	nan	0.0	0.6085	0.1590	0.8566	0.8480	0.9341	0.0	0.0931	0.2582	nan	0.8510	0.7139	0.7829	0.1775	nan	0.3996	0.5174	0.0260	0.8465	0.0	0.0	0.6332	0.0	0.6985	0.0	0.4409	0.2604	0.0	nan	0.0	0.3634	0.1547	0.7918	0.5963	0.9071	0.0	0.0414	0.1872	nan
0.4114	17.0	1819	0.6729	0.2871	0.3605	0.8229	nan	0.9392	0.7251	0.9153	0.2315	nan	0.4567	0.7256	0.0	0.9590	0.0	0.0	0.6185	0.0	0.8066	0.0	0.5621	0.4395	0.0	nan	0.0	0.6145	0.2403	0.9133	0.7995	0.9398	0.0	0.0071	0.2822	nan	0.8265	0.7234	0.6722	0.2215	nan	0.3950	0.4662	0.0	0.8165	0.0	0.0	0.5078	0.0	0.6691	0.0	0.4290	0.2784	0.0	nan	0.0	0.3776	0.2185	0.8190	0.6682	0.9119	0.0	0.0048	0.1810	nan
0.4454	18.0	1926	0.5813	0.3077	0.3756	0.8429	nan	0.9510	0.7915	0.8823	0.3622	nan	0.6052	0.6050	0.1438	0.9425	0.0	0.0	0.8465	0.0	0.8991	0.0	0.5406	0.3726	0.0	nan	0.0	0.5662	0.2455	0.9274	0.7934	0.9195	0.0023	0.0242	0.2230	nan	0.8700	0.7413	0.7645	0.3337	nan	0.4351	0.5061	0.1184	0.8548	0.0	0.0	0.6269	0.0	0.6952	0.0	0.4449	0.2702	0.0	nan	0.0	0.3680	0.2207	0.8215	0.6762	0.9004	0.0023	0.0155	0.1797	nan
0.3883	19.0	2033	0.6395	0.3015	0.3726	0.8387	nan	0.9646	0.6812	0.8640	0.2947	nan	0.5671	0.7051	0.1182	0.9589	0.0	0.0	0.7838	0.0	0.8610	0.0	0.5791	0.2923	0.0	nan	0.0	0.6598	0.3077	0.9206	0.7629	0.9542	0.0	0.0385	0.2368	nan	0.8548	0.6800	0.7538	0.2778	nan	0.4306	0.4970	0.1019	0.8366	0.0	0.0	0.5866	0.0	0.6989	0.0	0.4474	0.2176	0.0	nan	0.0	0.3589	0.2632	0.8286	0.6815	0.9146	0.0	0.0315	0.1867	nan
0.3644	20.0	2140	0.5922	0.3037	0.3786	0.8239	nan	0.9385	0.8519	0.8164	0.2723	nan	0.5861	0.6978	0.1213	0.9443	0.0	0.0	0.8068	0.0	0.8482	0.0	0.7086	0.2478	0.0	nan	0.0047	0.6076	0.3227	0.8626	0.8449	0.9375	0.0	0.0464	0.2713	nan	0.8674	0.7808	0.7152	0.2557	nan	0.4243	0.5144	0.1072	0.8483	0.0	0.0	0.6122	0.0	0.6901	0.0	0.5191	0.2071	0.0	nan	0.0046	0.3721	0.2806	0.7935	0.6024	0.9115	0.0	0.0252	0.1861	nan
0.3955	21.0	2247	0.5804	0.3102	0.3764	0.8314	nan	0.9517	0.7913	0.7814	0.2943	nan	0.6281	0.6433	0.2810	0.9482	0.0	0.0	0.7860	0.0	0.8433	0.0	0.5338	0.4093	0.0	nan	0.0042	0.5789	0.3137	0.9507	0.6665	0.9587	0.0032	0.0371	0.2643	nan	0.8512	0.7876	0.7059	0.2815	nan	0.4609	0.5102	0.1889	0.8440	0.0	0.0	0.6233	0.0	0.6931	0.0	0.4435	0.2827	0.0	nan	0.0042	0.3868	0.2788	0.8130	0.6311	0.9224	0.0032	0.0215	0.1924	nan
0.382	22.0	2354	0.5656	0.3038	0.3720	0.8336	nan	0.9571	0.6404	0.8362	0.2069	nan	0.6178	0.7017	0.0433	0.9437	0.0	0.0	0.8184	0.0	0.8723	0.0	0.5318	0.3636	0.0	nan	0.0061	0.6724	0.3754	0.9416	0.7642	0.9470	0.0020	0.0946	0.1959	nan	0.8594	0.6390	0.7711	0.2000	nan	0.4408	0.4947	0.0405	0.8543	0.0	0.0	0.6492	0.0	0.6926	0.0	0.4290	0.2442	0.0	nan	0.0060	0.3629	0.3313	0.8307	0.6991	0.9203	0.0020	0.0845	0.1699	nan
0.3605	23.0	2461	0.5688	0.3111	0.3737	0.8419	nan	0.9705	0.7359	0.8411	0.2990	nan	0.4916	0.6453	0.2595	0.9345	0.0	0.0	0.7679	0.0	0.9066	0.0	0.6105	0.3299	0.0	nan	0.0159	0.6334	0.2015	0.8991	0.8151	0.9495	0.0070	0.0117	0.2605	nan	0.8551	0.7330	0.7620	0.2812	nan	0.4251	0.5201	0.2014	0.8628	0.0	0.0	0.6653	0.0	0.7096	0.0	0.4805	0.2424	0.0	nan	0.0133	0.3804	0.1938	0.8233	0.6692	0.9197	0.0070	0.0107	0.1995	nan
0.3639	24.0	2568	0.5682	0.3141	0.3822	0.8401	nan	0.9631	0.7823	0.7522	0.3960	nan	0.6142	0.6735	0.2224	0.9642	0.0	0.0	0.5796	0.0	0.8436	0.0063	0.5305	0.3932	0.0	nan	0.0390	0.6339	0.2542	0.9285	0.8081	0.9499	0.0002	0.2556	0.2589	nan	0.8632	0.7763	0.7107	0.3603	nan	0.4477	0.5014	0.1608	0.8085	0.0	0.0	0.4859	0.0	0.6868	0.0050	0.4176	0.2614	0.0	nan	0.0318	0.4015	0.2398	0.8293	0.6988	0.9223	0.0002	0.2326	0.2083	nan
0.3449	25.0	2675	0.6115	0.2977	0.3745	0.7971	nan	0.8642	0.5640	0.8552	0.4055	nan	0.4367	0.5485	0.2659	0.9439	0.0	0.0	0.8602	0.0	0.8717	0.0127	0.5178	0.4112	0.0	nan	0.0065	0.6117	0.3096	0.9201	0.7574	0.9596	0.0027	0.2540	0.2305	nan	0.7911	0.5627	0.5309	0.3507	nan	0.3866	0.4461	0.1302	0.8368	0.0	0.0	0.5964	0.0	0.7030	0.0109	0.3968	0.2764	0.0	nan	0.0064	0.3905	0.2803	0.8301	0.6792	0.9230	0.0027	0.2038	0.1918	nan
0.3572	26.0	2782	0.6399	0.3084	0.3791	0.8402	nan	0.9684	0.6941	0.8763	0.2296	nan	0.4820	0.5448	0.2869	0.9428	0.0	0.0	0.8372	0.0	0.8719	0.0	0.6016	0.3221	0.0	nan	0.0056	0.6549	0.4519	0.9391	0.7510	0.9560	0.0	0.0853	0.2508	nan	0.8478	0.6927	0.7600	0.2236	nan	0.4213	0.4609	0.1379	0.8558	0.0	0.0	0.6121	0.0	0.7108	0.0	0.4673	0.2471	0.0	nan	0.0056	0.3793	0.3499	0.8271	0.6856	0.9211	0.0	0.0600	0.2031	nan
0.3015	27.0	2889	0.6563	0.2979	0.3704	0.8359	nan	0.9688	0.5500	0.8158	0.2144	nan	0.5423	0.4673	0.2929	0.9278	0.0	0.0	0.8728	0.0	0.8941	0.0	0.6152	0.3662	0.0	nan	0.0312	0.6205	0.3109	0.9260	0.8206	0.9439	0.0012	0.0261	0.2755	nan	0.8561	0.5497	0.6970	0.2068	nan	0.4538	0.4023	0.1119	0.8553	0.0	0.0	0.5691	0.0	0.7075	0.0	0.4687	0.2646	0.0	nan	0.0293	0.3912	0.2818	0.8310	0.7102	0.9202	0.0012	0.0152	0.2083	nan
0.3644	28.0	2996	0.6137	0.3137	0.3875	0.8268	nan	0.9175	0.7609	0.8997	0.2898	nan	0.5219	0.6557	0.4842	0.9426	0.0	0.0	0.7732	0.0	0.8624	0.0	0.5963	0.2773	0.0	nan	0.0103	0.6139	0.3068	0.9365	0.7812	0.9671	0.0	0.1202	0.2962	nan	0.8208	0.7518	0.6407	0.2776	nan	0.4435	0.5112	0.2958	0.8551	0.0	0.0	0.6324	0.0	0.7033	0.0	0.4347	0.2148	0.0	nan	0.0101	0.3938	0.2781	0.8298	0.6992	0.9261	0.0	0.0998	0.2201	nan
0.3305	29.0	3103	0.5922	0.3142	0.3842	0.8401	nan	0.9430	0.6594	0.8617	0.4674	nan	0.5859	0.6960	0.3651	0.9524	0.0	0.0	0.7562	0.0	0.9002	0.0	0.5785	0.3076	0.0	nan	0.0006	0.6137	0.2652	0.9137	0.7894	0.9462	0.0047	0.0233	0.2785	nan	0.8547	0.6570	0.6717	0.3981	nan	0.4752	0.5136	0.2840	0.8540	0.0	0.0	0.6352	0.0	0.6998	0.0	0.4314	0.2281	0.0	nan	0.0006	0.3950	0.2482	0.8399	0.7002	0.9241	0.0047	0.0168	0.2233	nan
0.3161	30.0	3210	0.6593	0.3152	0.3911	0.8377	nan	0.9621	0.6650	0.8330	0.2707	nan	0.5675	0.6548	0.4130	0.9506	0.0	0.0	0.8448	0.0	0.8609	0.0	0.6193	0.3949	0.0	nan	0.0063	0.5849	0.2664	0.9208	0.7922	0.9469	0.0065	0.2712	0.2931	nan	0.8521	0.6586	0.7352	0.2605	nan	0.4690	0.5158	0.2397	0.8622	0.0	0.0	0.6299	0.0	0.7146	0.0	0.4575	0.2541	0.0	nan	0.0062	0.3950	0.2498	0.8202	0.6884	0.9214	0.0065	0.1217	0.2268	nan
0.313	31.0	3317	0.6433	0.3097	0.3889	0.8233	nan	0.9383	0.6196	0.7380	0.2652	nan	0.6008	0.6056	0.3335	0.9413	0.0	0.0	0.8374	0.0	0.8739	0.0	0.6614	0.5532	0.225	nan	0.0223	0.5705	0.2980	0.9193	0.7590	0.9416	0.0000	0.0354	0.3158	nan	0.8442	0.6157	0.6554	0.2457	nan	0.4546	0.5057	0.2083	0.8601	0.0	0.0	0.6519	0.0	0.7275	0.0	0.5052	0.2533	0.0101	nan	0.0183	0.3946	0.2786	0.8199	0.6784	0.9204	0.0000	0.0258	0.2359	nan
0.3307	32.0	3424	0.6272	0.3160	0.3842	0.8345	nan	0.9630	0.6226	0.7989	0.2465	nan	0.5957	0.5553	0.3671	0.9542	0.0	0.0	0.7552	0.0	0.9090	0.0	0.6869	0.3914	0.0	nan	0.0017	0.5437	0.3359	0.9029	0.8032	0.8902	0.0004	0.3616	0.2246	nan	0.8622	0.6181	0.7303	0.2333	nan	0.4845	0.4797	0.2222	0.8376	0.0	0.0	0.6155	0.0	0.7008	0.0	0.5204	0.2567	0.0	nan	0.0017	0.3890	0.3034	0.8214	0.6789	0.8777	0.0004	0.2872	0.1912	nan
0.2934	33.0	3531	0.6393	0.3154	0.3915	0.8232	nan	0.9394	0.6453	0.8035	0.2705	nan	0.5682	0.6117	0.5255	0.9438	0.0	0.0	0.7935	0.0	0.8735	0.0	0.6049	0.4505	0.0	nan	0.0216	0.5927	0.3485	0.8786	0.8584	0.9319	0.0013	0.1623	0.3116	nan	0.8422	0.6409	0.6508	0.2542	nan	0.4755	0.5129	0.3335	0.8693	0.0	0.0	0.6654	0.0	0.7050	0.0	0.4609	0.2225	0.0	nan	0.0187	0.4007	0.3113	0.8030	0.6581	0.9098	0.0013	0.1338	0.2215	nan
0.3073	34.0	3638	0.6573	0.3146	0.3949	0.8165	nan	0.8918	0.6377	0.9139	0.3212	nan	0.5001	0.6803	0.5055	0.9578	0.0	0.0	0.7891	0.0	0.8599	0.0116	0.6606	0.2960	0.0	nan	0.0160	0.6499	0.2813	0.9182	0.8127	0.9574	0.0007	0.2847	0.2969	nan	0.8013	0.6330	0.5518	0.2993	nan	0.4348	0.5373	0.3145	0.8598	0.0	0.0	0.6676	0.0	0.7167	0.0113	0.4596	0.2073	0.0	nan	0.0143	0.3847	0.2628	0.8303	0.7056	0.9301	0.0007	0.2155	0.2286	nan
0.2787	35.0	3745	0.5653	0.3246	0.4052	0.8349	nan	0.9330	0.6632	0.8588	0.3982	nan	0.6274	0.6235	0.4885	0.9278	0.0	0.0	0.8205	0.0	0.8537	0.0	0.7589	0.3149	0.0	nan	0.0072	0.6352	0.3399	0.9115	0.8036	0.9626	0.0111	0.3528	0.2679	nan	0.8494	0.6538	0.6869	0.3586	nan	0.4899	0.5093	0.2641	0.8677	0.0	0.0	0.6734	0.0	0.7203	0.0	0.4977	0.2194	0.0	nan	0.0068	0.3967	0.2994	0.8190	0.6647	0.9319	0.0105	0.2500	0.2172	nan
0.2828	36.0	3852	0.6333	0.3228	0.4016	0.8377	nan	0.9532	0.6161	0.8298	0.3279	nan	0.5614	0.6539	0.6564	0.9453	0.0	0.0	0.7608	0.0	0.8998	0.0171	0.7045	0.3198	0.0	nan	0.0	0.6384	0.3772	0.9301	0.6951	0.9620	0.0057	0.3720	0.2240	nan	0.8478	0.6100	0.7004	0.3116	nan	0.4626	0.5188	0.2794	0.8629	0.0	0.0	0.6648	0.0	0.7274	0.0170	0.5115	0.2200	0.0	nan	0.0	0.4004	0.3402	0.8297	0.6536	0.9306	0.0057	0.2442	0.1919	nan
0.2686	37.0	3959	0.5766	0.3280	0.4041	0.8423	nan	0.9515	0.6531	0.8647	0.3277	nan	0.5861	0.6537	0.5780	0.9543	0.0	0.0	0.8164	0.0	0.8772	0.0100	0.7140	0.3120	0.0	nan	0.0132	0.6123	0.3934	0.9442	0.7230	0.9512	0.0087	0.3074	0.2736	nan	0.8667	0.6395	0.7574	0.3026	nan	0.5002	0.5131	0.2961	0.8600	0.0	0.0	0.6657	0.0	0.7264	0.0097	0.5066	0.2298	0.0	nan	0.0107	0.4090	0.3482	0.8243	0.6750	0.9290	0.0086	0.1977	0.2184	nan
0.2872	38.0	4066	0.7600	0.3028	0.3828	0.7887	nan	0.8301	0.5952	0.9243	0.2099	nan	0.6148	0.6372	0.3157	0.9564	0.0	0.0	0.7528	0.0	0.8400	0.0620	0.5784	0.4437	0.0	nan	0.0003	0.6813	0.4380	0.9478	0.7159	0.9605	0.0004	0.0724	0.2892	nan	0.7550	0.5920	0.4648	0.2005	nan	0.4681	0.5265	0.2530	0.8598	0.0	0.0	0.6530	0.0	0.7064	0.0451	0.4417	0.2671	0.0	nan	0.0003	0.3835	0.3671	0.8275	0.6661	0.9329	0.0004	0.0570	0.2215	nan
0.2988	39.0	4173	0.6956	0.3137	0.4024	0.8060	nan	0.8486	0.7527	0.9051	0.4368	nan	0.5564	0.4663	0.6503	0.9574	0.0	0.0	0.7798	0.0	0.8769	0.0076	0.6471	0.3134	0.0	nan	0.0013	0.5886	0.4146	0.9096	0.7897	0.9540	0.0315	0.3085	0.2778	nan	0.7775	0.7446	0.5061	0.3735	nan	0.4825	0.4014	0.2063	0.8661	0.0	0.0	0.6520	0.0	0.7083	0.0076	0.4158	0.1801	0.0	nan	0.0012	0.4124	0.3577	0.8235	0.6763	0.9285	0.0304	0.2659	0.2209	nan
0.2554	40.0	4280	0.5925	0.3213	0.3982	0.8403	nan	0.9438	0.7390	0.8390	0.3689	nan	0.5711	0.6502	0.5845	0.9649	0.0	0.0	0.8041	0.0	0.8783	0.0001	0.5734	0.3989	0.0	nan	0.0181	0.6474	0.2346	0.9157	0.8202	0.9624	0.0716	0.0365	0.3229	nan	0.8637	0.7244	0.7277	0.3249	nan	0.4866	0.5165	0.2970	0.8582	0.0	0.0	0.6574	0.0	0.7153	0.0001	0.4233	0.2486	0.0	nan	0.0168	0.3913	0.2256	0.8333	0.7040	0.9306	0.0692	0.0314	0.2344	nan
0.2549	41.0	4387	0.6137	0.3175	0.4036	0.8348	nan	0.9280	0.6296	0.9200	0.2669	nan	0.6599	0.5151	0.5457	0.9527	0.0	0.0	0.8299	0.0	0.8628	0.0039	0.6988	0.4697	0.1125	nan	0.0043	0.6066	0.2872	0.9294	0.7896	0.9474	0.0271	0.2414	0.2841	nan	0.8513	0.6222	0.6898	0.2564	nan	0.4924	0.4449	0.2277	0.8669	0.0	0.0	0.6512	0.0	0.7296	0.0039	0.4976	0.2478	0.0128	nan	0.0041	0.4068	0.2688	0.8341	0.6984	0.9264	0.0262	0.1851	0.2162	nan
0.2354	42.0	4494	0.6317	0.3154	0.3936	0.8313	nan	0.9302	0.7064	0.8898	0.2278	nan	0.6420	0.5582	0.6139	0.9384	0.0	0.0	0.8030	0.0	0.8834	0.0	0.5782	0.3702	0.0	nan	0.0192	0.6504	0.3178	0.9325	0.7654	0.9594	0.0016	0.1285	0.2850	nan	0.8420	0.7002	0.6594	0.2167	nan	0.5181	0.4815	0.2914	0.8742	0.0	0.0	0.6824	0.0	0.7117	0.0	0.4338	0.2444	0.0	nan	0.0177	0.3958	0.2949	0.8282	0.6779	0.9325	0.0016	0.0717	0.2155	nan
0.2573	43.0	4601	0.6638	0.3210	0.4055	0.8307	nan	0.9147	0.7127	0.8974	0.2779	nan	0.6535	0.6889	0.6945	0.9396	0.0	0.0	0.7530	0.0046	0.8750	0.0200	0.5979	0.3331	0.0	nan	0.0335	0.6971	0.3345	0.9309	0.8372	0.9505	0.0388	0.1107	0.2742	nan	0.8328	0.7039	0.6265	0.2615	nan	0.5346	0.5493	0.2865	0.8751	0.0	0.0	0.6519	0.0046	0.7166	0.0196	0.4378	0.2408	0.0	nan	0.0325	0.3868	0.3039	0.8334	0.7071	0.9292	0.0382	0.0811	0.2187	nan
0.2599	44.0	4708	0.6196	0.3244	0.4032	0.8396	nan	0.9392	0.6877	0.9035	0.2769	nan	0.6472	0.5983	0.6718	0.9534	0.0	0.0	0.7589	0.0	0.9145	0.0003	0.5502	0.3588	0.0625	nan	0.0184	0.6013	0.3435	0.9215	0.8015	0.9602	0.0108	0.2543	0.2641	nan	0.8565	0.6822	0.7163	0.2620	nan	0.5244	0.4975	0.2733	0.8634	0.0	0.0	0.6556	0.0	0.7052	0.0003	0.4242	0.2415	0.0181	nan	0.0153	0.4087	0.3124	0.8391	0.7028	0.9304	0.0107	0.2206	0.2216	nan
0.2529	45.0	4815	0.6302	0.3224	0.4042	0.8371	nan	0.9314	0.6702	0.9042	0.3293	nan	0.6666	0.5921	0.6454	0.9319	0.0	0.0	0.7982	0.0	0.8871	0.0	0.5281	0.4077	0.0	nan	0.0023	0.6458	0.3395	0.9404	0.7694	0.9567	0.0000	0.3069	0.2783	nan	0.8519	0.6655	0.6871	0.3055	nan	0.5104	0.4922	0.2660	0.8720	0.0	0.0	0.6501	0.0	0.7079	0.0	0.4104	0.2737	0.0	nan	0.0022	0.4162	0.3119	0.8253	0.6790	0.9335	0.0000	0.2281	0.2292	nan
0.2276	46.0	4922	0.6255	0.3253	0.4020	0.8418	nan	0.9661	0.6236	0.8573	0.2166	nan	0.6236	0.6989	0.6588	0.9574	0.0	0.0104	0.7680	0.0	0.8693	0.0111	0.5761	0.4166	0.0	nan	0.0086	0.6356	0.3650	0.9240	0.8207	0.9607	0.0002	0.2081	0.2867	nan	0.8675	0.6203	0.7974	0.2036	nan	0.4959	0.5226	0.3157	0.8640	0.0	0.0104	0.6408	0.0	0.7240	0.0109	0.4506	0.3072	0.0	nan	0.0075	0.4135	0.3288	0.8224	0.6748	0.9333	0.0002	0.1640	0.2329	nan
0.2427	47.0	5029	0.6093	0.3226	0.4113	0.8449	nan	0.9583	0.6256	0.8814	0.2647	nan	0.6329	0.4902	0.6976	0.9514	0.0	0.0414	0.8144	0.0	0.8750	0.0047	0.6638	0.4526	0.2062	nan	0.0430	0.6420	0.3008	0.9298	0.8125	0.9579	0.0	0.2264	0.2764	nan	0.8712	0.6212	0.7939	0.2490	nan	0.5023	0.4054	0.2064	0.8732	0.0	0.0414	0.6399	0.0	0.7253	0.0044	0.4843	0.2982	0.0358	nan	0.0321	0.4041	0.2754	0.8420	0.7234	0.9310	0.0	0.1466	0.2163	nan
0.2303	48.0	5136	0.6381	0.3261	0.4072	0.8457	nan	0.9577	0.7092	0.9185	0.2747	nan	0.5507	0.6217	0.5527	0.9458	0.0	0.0887	0.8262	0.0	0.8852	0.0237	0.6067	0.3769	0.0	nan	0.0189	0.6713	0.2886	0.9241	0.8327	0.9500	0.0006	0.3745	0.2248	nan	0.8618	0.7047	0.7718	0.2607	nan	0.4691	0.4999	0.2526	0.8814	0.0	0.0886	0.6479	0.0	0.7159	0.0228	0.4523	0.2813	0.0	nan	0.0152	0.3797	0.2696	0.8326	0.7174	0.9286	0.0006	0.1907	0.1899	nan
0.2392	49.0	5243	0.6558	0.3184	0.4016	0.8339	nan	0.9390	0.6214	0.8553	0.2535	nan	0.6478	0.5244	0.6586	0.9625	0.0	0.0	0.7632	0.0	0.8693	0.0001	0.5707	0.3258	0.0	nan	0.0207	0.6880	0.3607	0.9410	0.7973	0.9581	0.0092	0.4327	0.2511	nan	0.8481	0.6183	0.7038	0.2347	nan	0.5121	0.4383	0.2360	0.8539	0.0	0.0	0.6423	0.0	0.7145	0.0001	0.4356	0.2695	0.0	nan	0.0169	0.3838	0.3152	0.8368	0.7196	0.9310	0.0092	0.2585	0.2117	nan
0.237	50.0	5350	0.6710	0.3204	0.4038	0.8369	nan	0.9533	0.6190	0.9035	0.2047	nan	0.5981	0.5344	0.6234	0.9413	0.1139	0.0	0.8222	0.0	0.8759	0.0	0.5728	0.5058	0.0	nan	0.0181	0.6576	0.3454	0.9373	0.7299	0.9508	0.0028	0.3569	0.2521	nan	0.8544	0.6119	0.7662	0.1959	nan	0.4797	0.4514	0.2373	0.8759	0.0262	0.0	0.6584	0.0	0.7154	0.0	0.4302	0.3280	0.0	nan	0.0135	0.3882	0.3064	0.8327	0.6856	0.9294	0.0027	0.2539	0.2084	nan
0.2224	51.0	5457	0.6493	0.3273	0.4107	0.8439	nan	0.9551	0.6831	0.9049	0.2683	nan	0.6261	0.6141	0.5829	0.9609	0.0	0.0279	0.8182	0.0264	0.8745	0.0002	0.5981	0.4327	0.0	nan	0.0131	0.6526	0.3670	0.9285	0.7689	0.9607	0.0027	0.4246	0.2390	nan	0.8617	0.6760	0.7923	0.2494	nan	0.5177	0.4909	0.2681	0.8700	0.0	0.0279	0.6421	0.0263	0.7098	0.0001	0.4424	0.2941	0.0	nan	0.0107	0.3983	0.3253	0.8296	0.6983	0.9322	0.0026	0.2031	0.2062	nan
0.229	52.0	5564	0.6737	0.3294	0.4178	0.8319	nan	0.9129	0.7412	0.9291	0.3018	nan	0.6283	0.5970	0.5446	0.9533	0.0006	0.0	0.8282	0.0	0.8931	0.0	0.5834	0.4663	0.1313	nan	0.0639	0.6584	0.3552	0.9062	0.8006	0.9567	0.0043	0.3740	0.3202	nan	0.8299	0.7314	0.6376	0.2770	nan	0.5090	0.5047	0.2880	0.8749	0.0001	0.0	0.6588	0.0	0.7263	0.0	0.4638	0.3083	0.0212	nan	0.0507	0.4104	0.3115	0.8294	0.6875	0.9332	0.0040	0.2403	0.2443	nan

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Nov 1, 2024
Updated: Nov 3, 2024