segformer-b0-finetuned-segments-sidewalk-2

apisdn/segformer-b0-finetuned-segments-sidewalk-2

segformer-b0-finetuned-segments-sidewalk-2 is a image segmentation model from apisdn. 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 13, 2024
Updated: Mar 14, 2024
SHA: a5334611

Base models

nvidia/mit-b0

Model card

From the Hugging Face model README

segformer-b0-finetuned-segments-sidewalk-2

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: 0.5030
Mean Iou: 0.3338
Mean Accuracy: 0.4003
Overall Accuracy: 0.8621
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.8504
Accuracy Flat-sidewalk: 0.9481
Accuracy Flat-crosswalk: 0.6649
Accuracy Flat-cyclinglane: 0.8739
Accuracy Flat-parkingdriveway: 0.6017
Accuracy Flat-railtrack: nan
Accuracy Flat-curb: 0.5652
Accuracy Human-person: 0.8056
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.9321
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: nan
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.6484
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.9052
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.5216
Accuracy Construction-fenceguardrail: 0.5440
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.3397
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9282
Accuracy Nature-terrain: 0.9021
Accuracy Sky: 0.9671
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0021
Accuracy Void-static: 0.4099
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.7271
Iou Flat-sidewalk: 0.8940
Iou Flat-crosswalk: 0.5845
Iou Flat-cyclinglane: 0.7074
Iou Flat-parkingdriveway: 0.4377
Iou Flat-railtrack: nan
Iou Flat-curb: 0.4698
Iou Human-person: 0.5492
Iou Human-rider: 0.0
Iou Vehicle-car: 0.8218
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: nan
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.4926
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.7177
Iou Construction-door: 0.0
Iou Construction-wall: 0.3855
Iou Construction-fenceguardrail: 0.4617
Iou Construction-bridge: 0.0
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.0
Iou Object-pole: 0.2627
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8451
Iou Nature-terrain: 0.7540
Iou Sky: 0.9238
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0021
Iou Void-static: 0.3099
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Flat-road	Accuracy Flat-sidewalk	Accuracy Flat-cyclinglane	Accuracy Flat-parkingdriveway	Accuracy Flat-railtrack	Accuracy Flat-curb	Accuracy Human-person	Accuracy Vehicle-car	Accuracy Vehicle-tramtrain	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-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-railtrack	Iou Flat-curb	Iou Human-person	Iou Vehicle-car	Iou Vehicle-tramtrain	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
2.7613	0.05	20	3.0868	0.0602	0.1106	0.5474	nan	0.0259	0.9212	0.0658	0.0072	nan	0.0002	0.0	0.0218	nan	0.0010	0.7944	0.0	0.0	nan	0.0	0.9543	0.0010	0.6321	0.0051	0.0	0.0252	0.6044	0.0576	0.0066	0.0	0.0002	0.0	0.0214	0.0	0.0009	0.3473	0.0	0.0	0.0	0.0	0.4757	0.0010	0.5628	0.0042
2.7305	0.1	40	2.3324	0.0797	0.1332	0.5917	nan	0.3431	0.8926	0.0039	0.0002	nan	0.0001	0.0	0.2748	nan	0.0	0.8567	0.0003	0.0	nan	0.0	0.9383	0.0402	0.7798	0.0	nan	0.2348	0.6981	0.0039	0.0002	0.0	0.0001	0.0	0.2395	nan	0.0	0.3681	0.0003	0.0	nan	0.0	0.5245	0.0354	0.4452	0.0
2.0568	0.15	60	1.8469	0.1094	0.1570	0.6532	nan	0.5455	0.9454	0.0019	0.0003	nan	0.0006	0.0	0.6624	nan	0.0	0.8557	0.0005	0.0	nan	0.0	0.9423	0.0176	0.8932	0.0	nan	0.3961	0.6954	0.0019	0.0003	nan	0.0006	0.0	0.4714	nan	0.0	0.4564	0.0005	0.0	nan	0.0	0.5929	0.0172	0.7595	0.0
2.1332	0.2	80	1.6618	0.1131	0.1645	0.6598	nan	0.7639	0.8862	0.0041	0.0000	nan	0.0	0.0	0.6589	nan	0.0	0.9147	0.0	0.0	nan	0.0	0.9016	0.0497	0.9209	0.0	nan	0.4089	0.7503	0.0041	0.0000	nan	0.0	0.0	0.4850	nan	0.0	0.4606	0.0	0.0	nan	0.0	0.5990	0.0477	0.7493	0.0
1.7443	0.25	100	1.5016	0.1240	0.1751	0.6852	nan	0.7320	0.9302	0.0026	0.0000	nan	0.0000	0.0	0.7995	nan	0.0	0.8267	0.0	0.0	nan	0.0	0.9411	0.2347	0.9602	0.0	nan	0.4378	0.7466	0.0026	0.0000	nan	0.0000	0.0	0.5670	nan	0.0	0.5272	0.0	0.0	nan	0.0	0.6193	0.2130	0.7320	0.0
1.5469	0.3	120	1.4622	0.1251	0.1759	0.6853	nan	0.7861	0.9086	0.0132	0.0001	nan	0.0000	0.0	0.8150	nan	0.0	0.9092	0.0	0.0	nan	0.0	0.9155	0.2250	0.8810	0.0	nan	0.4372	0.7649	0.0132	0.0001	nan	0.0000	0.0	0.5459	nan	0.0	0.5111	0.0	0.0	nan	0.0	0.6301	0.2084	0.7685	0.0
2.391	0.35	140	1.3546	0.1284	0.1752	0.6877	nan	0.7597	0.9316	0.0980	0.0001	nan	0.0	0.0	0.6860	nan	0.0	0.9039	0.0004	0.0	nan	0.0	0.8969	0.2199	0.9348	0.0	nan	0.4500	0.7415	0.0963	0.0001	nan	0.0	0.0	0.5604	nan	0.0	0.4857	0.0004	0.0	nan	0.0	0.6485	0.2129	0.7852	0.0
1.3373	0.4	160	1.2827	0.1323	0.1749	0.6949	nan	0.7233	0.9491	0.0861	0.0002	nan	0.0	0.0	0.5863	nan	0.0	0.9085	0.0	0.0	nan	0.0	0.9354	0.3539	0.8788	0.0	nan	0.4679	0.7402	0.0855	0.0002	nan	0.0	0.0	0.5275	nan	0.0	0.4963	0.0	0.0	nan	0.0	0.6405	0.3330	0.8102	0.0
1.814	0.45	180	1.2086	0.1544	0.2041	0.7313	nan	0.7627	0.9523	0.2621	0.0019	nan	0.0	0.0	0.9054	nan	0.0	0.8242	0.0	0.0	nan	0.0	0.8895	0.7793	0.9496	0.0	nan	0.4967	0.7517	0.2536	0.0019	nan	0.0	0.0	0.5732	nan	0.0	0.5687	0.0	0.0	nan	0.0	0.7275	0.6120	0.8004	0.0
1.0337	0.5	200	1.1426	0.1558	0.2040	0.7258	nan	0.8122	0.9030	0.4009	0.0007	nan	0.0	0.0	0.8114	nan	0.0	0.8964	0.0001	0.0	nan	0.0	0.9169	0.6577	0.9259	0.0	nan	0.4576	0.7806	0.3591	0.0007	nan	0.0	0.0	0.6186	nan	0.0	0.5287	0.0001	0.0	nan	0.0	0.7077	0.5754	0.8004	0.0
0.9412	0.55	220	1.1058	0.1591	0.2085	0.7343	nan	0.8523	0.9132	0.3235	0.0025	nan	0.0	0.0	0.8658	nan	0.0	0.8340	0.0	0.0	nan	0.0	0.9034	0.8514	0.9175	0.0	nan	0.4732	0.7812	0.3108	0.0025	nan	0.0	0.0	0.6343	nan	0.0	0.5731	0.0	0.0	nan	0.0	0.7056	0.6467	0.8055	0.0
1.153	0.6	240	1.0892	0.1624	0.2075	0.7370	nan	0.6938	0.9608	0.4141	0.0014	nan	0.0	0.0	0.8492	nan	0.0	0.8864	0.0006	0.0	nan	0.0	0.8867	0.8333	0.9066	0.0	nan	0.4919	0.7415	0.3653	0.0014	nan	0.0	0.0	0.6615	nan	0.0	0.5507	0.0006	0.0	nan	0.0	0.7452	0.6554	0.8214	0.0
1.563	0.65	260	1.0588	0.1641	0.2147	0.7424	nan	0.7806	0.9269	0.5151	0.0068	nan	0.0000	0.0	0.8568	nan	0.0	0.8709	0.0006	0.0	nan	0.0	0.8876	0.8832	0.9268	0.0	nan	0.4749	0.7966	0.3921	0.0068	nan	0.0000	0.0	0.6588	nan	0.0	0.5605	0.0006	0.0	nan	0.0	0.7293	0.6449	0.8232	0.0
0.9941	0.7	280	1.0610	0.1630	0.2093	0.7392	nan	0.7278	0.9517	0.3672	0.0082	nan	0.0	0.0	0.8699	nan	0.0	0.8867	0.0008	0.0	nan	0.0	0.8936	0.8495	0.9318	0.0	nan	0.4707	0.7604	0.3468	0.0081	nan	0.0	0.0	0.6728	nan	0.0	0.5594	0.0008	0.0	nan	0.0	0.7455	0.6600	0.8277	0.0
1.3406	0.75	300	1.0624	0.1657	0.2100	0.7426	nan	0.6512	0.9705	0.4415	0.0445	nan	0.0001	0.0	0.8883	nan	0.0	0.9094	0.0022	0.0	nan	0.0	0.9107	0.8010	0.8917	0.0	nan	0.4941	0.7481	0.3908	0.0414	nan	0.0001	0.0	0.6783	nan	0.0	0.5749	0.0022	0.0	nan	0.0	0.7400	0.6269	0.8404	0.0
0.7236	0.8	320	1.0300	0.1636	0.2079	0.7422	nan	0.7688	0.9544	0.3767	0.0281	nan	0.0004	0.0	0.8168	nan	0.0	0.9440	0.0003	0.0	nan	0.0	0.8761	0.8169	0.8611	0.0	nan	0.5043	0.7757	0.3555	0.0272	nan	0.0004	0.0	0.6533	nan	0.0	0.5372	0.0003	0.0	nan	0.0	0.7411	0.6492	0.8271	0.0
1.1755	0.85	340	0.9857	0.1685	0.2153	0.7522	nan	0.8118	0.9416	0.4490	0.0403	nan	0.0009	0.0	0.8770	nan	0.0	0.8443	0.0005	0.0	nan	0.0	0.9363	0.8292	0.9430	0.0	nan	0.4974	0.8030	0.4005	0.0389	nan	0.0009	0.0	0.6780	nan	0.0	0.5794	0.0005	0.0	nan	0.0	0.7206	0.6654	0.8393	0.0
0.8277	0.9	360	0.9503	0.1700	0.2169	0.7553	nan	0.8139	0.9419	0.4585	0.0487	nan	0.0160	0.0	0.8913	nan	0.0	0.9150	0.0017	0.0	nan	0.0	0.9121	0.8460	0.8773	0.0	nan	0.5102	0.8072	0.4119	0.0462	nan	0.0158	0.0	0.6549	nan	0.0	0.5647	0.0017	0.0	nan	0.0	0.7548	0.6667	0.8349	0.0
1.0964	0.95	380	0.9795	0.1673	0.2180	0.7480	nan	0.7389	0.9635	0.5082	0.0363	nan	0.0384	0.0	0.9231	nan	0.0	0.8434	0.0004	0.0	nan	0.0	0.8410	0.9071	0.9566	0.0	nan	0.5140	0.7745	0.4370	0.0351	nan	0.0375	0.0	0.6404	nan	0.0	0.5966	0.0004	0.0	nan	0.0	0.7123	0.6021	0.8360	0.0
1.0782	1.0	400	0.9498	0.1701	0.2207	0.7541	nan	0.8392	0.9310	0.3950	0.0668	nan	0.0462	0.0	0.9183	nan	0.0	0.9110	0.0107	0.0	nan	0.0001	0.8825	0.8926	0.9477	0.0	nan	0.5075	0.8096	0.3669	0.0617	nan	0.0447	0.0	0.6404	nan	0.0	0.5702	0.0105	0.0	nan	0.0001	0.7646	0.6548	0.8433	0.0
0.7965	1.05	420	0.9255	0.1777	0.2218	0.7587	nan	0.7880	0.9475	0.4400	0.1968	nan	0.0562	0.0	0.8233	nan	0.0	0.9296	0.0237	0.0	nan	0.0002	0.9219	0.8168	0.9317	0.0000	nan	0.5343	0.7958	0.4042	0.1576	nan	0.0541	0.0	0.6891	nan	0.0	0.5549	0.0233	0.0	nan	0.0002	0.7537	0.6747	0.8671	0.0000
0.922	1.1	440	0.9388	0.1807	0.2291	0.7606	nan	0.7224	0.9679	0.5214	0.1530	nan	0.1999	0.0	0.9419	nan	0.0	0.8134	0.0352	0.0	nan	0.0038	0.8962	0.8985	0.9484	0.0001	nan	0.5477	0.7810	0.4555	0.1328	nan	0.1722	0.0	0.6491	nan	0.0	0.5896	0.0345	0.0	nan	0.0038	0.7285	0.6468	0.8595	0.0001
0.9597	1.15	460	0.8921	0.1871	0.2313	0.7680	nan	0.7668	0.9610	0.4708	0.1648	nan	0.2614	0.0	0.8462	nan	0.0	0.9209	0.0645	0.0	nan	0.0045	0.9073	0.8795	0.9236	0.0001	nan	0.5479	0.8007	0.4173	0.1351	nan	0.2222	0.0	0.7046	nan	0.0	0.5693	0.0614	0.0	nan	0.0045	0.7710	0.6959	0.8697	0.0001
1.1612	1.2	480	0.9016	0.1862	0.2395	0.7663	nan	0.7936	0.9174	0.6213	0.2689	nan	0.2730	0.0	0.9463	nan	0.0	0.8782	0.0370	0.0	nan	0.0025	0.9261	0.8113	0.9482	0.0	nan	0.5339	0.8229	0.4730	0.1925	nan	0.2165	0.0	0.6488	nan	0.0	0.5951	0.0361	0.0	nan	0.0025	0.7526	0.6664	0.8309	0.0
0.7232	1.25	500	0.9214	0.1865	0.2339	0.7585	nan	0.7850	0.9326	0.5147	0.2372	nan	0.2890	0.0	0.7751	nan	0.0	0.9176	0.0962	0.0	nan	0.0034	0.8765	0.8715	0.9516	0.0003	nan	0.5020	0.8084	0.4293	0.1808	nan	0.2329	0.0	0.6994	nan	0.0	0.5538	0.0881	0.0	nan	0.0034	0.7671	0.6708	0.8440	0.0003
0.9287	1.3	520	0.8607	0.1905	0.2370	0.7733	nan	0.7871	0.9598	0.4933	0.1617	nan	0.3361	0.0054	0.9345	nan	0.0	0.8610	0.0878	0.0011	nan	0.0016	0.9270	0.8367	0.9516	0.0010	nan	0.5464	0.8032	0.4403	0.1437	nan	0.2679	0.0054	0.6850	nan	0.0	0.6180	0.0846	0.0011	nan	0.0016	0.7645	0.6727	0.8715	0.0010
0.8755	1.35	540	0.8452	0.1917	0.2400	0.7741	nan	0.8167	0.9424	0.4580	0.1835	nan	0.3927	0.0	0.9323	nan	0.0	0.9247	0.0795	0.0004	nan	0.0126	0.9129	0.8513	0.9330	0.0000	nan	0.5535	0.8188	0.4175	0.1566	nan	0.2816	0.0	0.6914	nan	0.0	0.5890	0.0746	0.0004	nan	0.0125	0.7838	0.6826	0.8807	0.0000
0.8307	1.4	560	0.8736	0.1969	0.2477	0.7701	nan	0.7960	0.9159	0.6137	0.2820	nan	0.3605	0.0040	0.8882	nan	0.0	0.8205	0.2042	0.0001	nan	0.0220	0.9564	0.8577	0.9562	0.0000	nan	0.5390	0.8248	0.4989	0.2211	nan	0.2697	0.0040	0.7151	nan	0.0	0.5995	0.1784	0.0001	nan	0.0212	0.7036	0.6576	0.8718	0.0000
1.402	1.45	580	0.8555	0.2004	0.2485	0.7757	nan	0.7734	0.9472	0.4870	0.2816	nan	0.3762	0.0425	0.9116	nan	0.0	0.8756	0.2250	0.0000	nan	0.0300	0.9312	0.8609	0.9604	0.0007	nan	0.5412	0.8108	0.4282	0.2203	nan	0.2856	0.0420	0.7089	nan	0.0	0.6075	0.2018	0.0000	nan	0.0293	0.7660	0.7043	0.8656	0.0007
0.5225	1.5	600	0.8549	0.2030	0.2554	0.7784	nan	0.7819	0.9345	0.4747	0.3873	nan	0.3925	0.0002	0.9286	nan	0.0	0.8833	0.3271	0.0003	nan	0.0200	0.9233	0.9065	0.9578	0.0003	nan	0.5434	0.8284	0.4261	0.2718	nan	0.2857	0.0002	0.7220	nan	0.0	0.6086	0.2643	0.0003	nan	0.0198	0.7647	0.6761	0.8826	0.0003
0.7842	1.55	620	0.8270	0.1988	0.2451	0.7764	nan	0.8065	0.9410	0.5719	0.2699	nan	0.3081	0.0169	0.8046	nan	0.0	0.9212	0.2539	0.0001	nan	0.0069	0.9267	0.8239	0.9468	0.0006	nan	0.5430	0.8323	0.4582	0.2285	nan	0.2238	0.0169	0.7203	nan	0.0	0.5823	0.2200	0.0001	nan	0.0069	0.7733	0.6741	0.8818	0.0006
1.2838	1.6	640	0.8154	0.1961	0.2442	0.7791	nan	0.8285	0.9424	0.4945	0.3133	nan	0.3188	0.0029	0.9346	nan	0.0	0.8954	0.1359	0.0007	nan	0.0097	0.9375	0.8022	0.9531	0.0007	nan	0.5634	0.8325	0.4374	0.2407	nan	0.2670	0.0029	0.6776	nan	0.0	0.5964	0.1276	0.0007	nan	0.0096	0.7607	0.6941	0.8684	0.0007
0.5899	1.65	660	0.7866	0.2102	0.2614	0.7878	nan	0.8118	0.9516	0.5615	0.3453	nan	0.4403	0.0394	0.9261	nan	0.0	0.8854	0.4125	0.0026	nan	0.0156	0.8996	0.8460	0.9625	0.0028	nan	0.5686	0.8279	0.4973	0.2537	nan	0.3117	0.0392	0.7022	nan	0.0	0.6196	0.2871	0.0026	nan	0.0155	0.8039	0.7211	0.8638	0.0026
0.3365	1.7	680	0.7968	0.2035	0.2514	0.7783	nan	0.8256	0.9462	0.4814	0.2454	nan	0.3610	0.0391	0.8841	nan	0.0	0.9000	0.3938	0.0005	nan	0.0202	0.9049	0.8311	0.9584	0.0005	nan	0.5482	0.8148	0.4367	0.2035	nan	0.2775	0.0389	0.7375	nan	0.0	0.5966	0.2763	0.0005	nan	0.0199	0.7964	0.6989	0.8619	0.0005
0.8643	1.75	700	0.8389	0.2030	0.2565	0.7685	nan	0.6074	0.9702	0.6285	0.2132	nan	0.4179	0.0942	0.8898	nan	0.0	0.8600	0.4551	0.0006	nan	0.0525	0.8914	0.8952	0.9680	0.0060	nan	0.5010	0.7981	0.4048	0.1829	nan	0.3156	0.0928	0.7511	nan	0.0	0.5995	0.2861	0.0006	nan	0.0508	0.7834	0.6712	0.8493	0.0058
0.6571	1.8	720	0.8190	0.2006	0.2499	0.7779	nan	0.8853	0.9355	0.5150	0.1614	nan	0.2138	0.0436	0.9182	nan	0.0	0.8259	0.3797	0.0009	nan	0.0864	0.9185	0.8900	0.9619	0.0100	nan	0.5303	0.8389	0.4602	0.1470	nan	0.1917	0.0433	0.7166	nan	0.0	0.6156	0.2741	0.0009	nan	0.0811	0.7654	0.6754	0.8694	0.0098
0.5954	1.85	740	0.8031	0.1996	0.2487	0.7804	nan	0.8086	0.9397	0.4842	0.3210	nan	0.4392	0.0001	0.9424	nan	0.0	0.9317	0.0724	0.0008	nan	0.0456	0.9138	0.8667	0.9368	0.0078	nan	0.5686	0.8255	0.4335	0.2459	nan	0.3208	0.0001	0.7003	nan	0.0	0.5781	0.0661	0.0008	nan	0.0433	0.7948	0.7174	0.8842	0.0076
0.9125	1.9	760	0.8012	0.2102	0.2593	0.7829	nan	0.8647	0.9201	0.5287	0.4671	nan	0.3677	0.0158	0.8576	nan	0.0	0.9063	0.2083	0.0194	nan	0.1107	0.9331	0.7981	0.9669	0.0752	nan	0.5650	0.8365	0.4572	0.2745	nan	0.2991	0.0158	0.7351	nan	0.0	0.6018	0.1772	0.0194	nan	0.0985	0.7915	0.7035	0.8749	0.0655
0.6386	1.95	780	0.7901	0.2072	0.2609	0.7804	nan	0.7345	0.9524	0.5187	0.3809	nan	0.4065	0.0009	0.9506	nan	0.0	0.8772	0.3611	0.0108	nan	0.0780	0.8944	0.9249	0.9548	0.0425	nan	0.5520	0.8184	0.4449	0.2717	nan	0.3105	0.0009	0.6957	nan	0.0	0.6343	0.2740	0.0108	nan	0.0724	0.7695	0.6606	0.8697	0.0388
0.3176	2.0	800	0.7634	0.2183	0.2676	0.7910	nan	0.8532	0.9308	0.6330	0.2618	nan	0.3674	0.1974	0.9196	nan	0.0	0.8899	0.2984	0.0118	nan	0.0899	0.9253	0.9016	0.9591	0.0575	nan	0.5576	0.8435	0.5225	0.2100	nan	0.3028	0.1901	0.7342	nan	0.0	0.6270	0.2481	0.0117	nan	0.0821	0.7903	0.7089	0.8835	0.0536
0.7566	2.05	820	0.7654	0.2206	0.2716	0.7893	nan	0.7937	0.9466	0.5917	0.3145	nan	0.4509	0.4391	0.9226	nan	0.0	0.9171	0.1885	0.0015	nan	0.0714	0.9195	0.8734	0.9564	0.0337	nan	0.5744	0.8346	0.4831	0.2478	nan	0.3384	0.3780	0.7203	nan	0.0	0.6003	0.1549	0.0015	nan	0.0681	0.7959	0.7238	0.8849	0.0328
0.6973	2.1	840	0.7914	0.2307	0.2962	0.7853	nan	0.8625	0.9106	0.5789	0.4898	nan	0.4095	0.6680	0.9001	nan	0.0076	0.8451	0.4735	0.0092	nan	0.1260	0.8844	0.9244	0.9642	0.1273	nan	0.5754	0.8320	0.4924	0.2650	nan	0.3076	0.4208	0.7530	nan	0.0076	0.6574	0.2890	0.0092	nan	0.1148	0.7836	0.6669	0.8648	0.1111
0.6372	2.15	860	0.7352	0.2278	0.2783	0.7952	nan	0.8073	0.9560	0.5443	0.3967	nan	0.4493	0.4180	0.9145	nan	0.0	0.9200	0.4095	0.0434	nan	0.0880	0.9358	0.7749	0.9506	0.0207	nan	0.6060	0.8353	0.4929	0.2740	nan	0.3301	0.3471	0.7383	nan	0.0	0.6297	0.2989	0.0426	nan	0.0825	0.7804	0.6953	0.8882	0.0200
0.4261	2.2	880	0.7658	0.2249	0.2814	0.7863	nan	0.8467	0.9297	0.5260	0.4671	nan	0.3961	0.5450	0.8252	nan	0.0003	0.9310	0.3836	0.0140	nan	0.0839	0.8837	0.9131	0.9430	0.0364	nan	0.5704	0.8411	0.4678	0.2774	nan	0.3140	0.3858	0.7268	nan	0.0003	0.6142	0.2781	0.0140	nan	0.0787	0.7873	0.6885	0.8935	0.0345
0.8689	2.25	900	0.7387	0.2327	0.2937	0.7955	nan	0.8181	0.9439	0.6526	0.4306	nan	0.4216	0.7438	0.9072	nan	0.0000	0.8277	0.3589	0.0379	nan	0.1510	0.9514	0.8186	0.9763	0.0641	nan	0.6028	0.8464	0.5317	0.2707	nan	0.3384	0.4162	0.7211	nan	0.0000	0.6261	0.3004	0.0377	nan	0.1316	0.7583	0.7095	0.8614	0.0601
0.5214	2.3	920	0.7337	0.2243	0.2753	0.7977	nan	0.8933	0.9406	0.5067	0.2624	nan	0.4666	0.2798	0.9468	nan	0.0	0.9058	0.4086	0.0139	nan	0.1140	0.9218	0.8674	0.9611	0.0439	nan	0.5863	0.8514	0.4646	0.2249	nan	0.3358	0.2535	0.7001	nan	0.0	0.6470	0.2953	0.0139	nan	0.1031	0.8052	0.7375	0.8945	0.0403
0.5208	2.35	940	0.7267	0.2328	0.2877	0.7944	nan	0.8149	0.9260	0.6306	0.5415	nan	0.4704	0.3438	0.8691	nan	0.0	0.9233	0.3991	0.0276	nan	0.1909	0.9505	0.7492	0.9305	0.1518	nan	0.6006	0.8577	0.5069	0.3083	nan	0.3449	0.2962	0.7478	nan	0.0	0.6286	0.2942	0.0275	nan	0.1547	0.7654	0.6693	0.8903	0.1255
0.4238	2.4	960	0.7309	0.2366	0.2926	0.8005	nan	0.7982	0.9567	0.6051	0.4682	nan	0.3919	0.3990	0.9027	nan	0.0	0.8916	0.5417	0.0353	nan	0.1755	0.9047	0.8810	0.9623	0.1564	nan	0.5918	0.8473	0.5152	0.3068	nan	0.3195	0.3256	0.7681	nan	0.0	0.6564	0.3014	0.0351	nan	0.1468	0.8048	0.6933	0.8908	0.1322
0.8412	2.45	980	0.7161	0.2377	0.2973	0.8011	nan	0.7932	0.9429	0.6902	0.4637	nan	0.4717	0.4468	0.9455	nan	0.0	0.8412	0.4509	0.0503	nan	0.2405	0.9278	0.9010	0.9642	0.0868	nan	0.6052	0.8543	0.5610	0.3038	nan	0.3439	0.3773	0.7258	nan	0.0	0.6534	0.2925	0.0500	nan	0.1878	0.7845	0.6631	0.8865	0.0812
0.5655	2.5	1000	0.7348	0.2298	0.2781	0.7957	nan	0.7909	0.9648	0.5791	0.3012	nan	0.3884	0.3717	0.8679	nan	0.0022	0.9401	0.4082	0.0555	nan	0.1984	0.9071	0.8846	0.9387	0.0223	nan	0.5959	0.8299	0.4782	0.2517	nan	0.3231	0.3125	0.7599	nan	0.0022	0.6033	0.3076	0.0551	nan	0.1594	0.8094	0.7249	0.8907	0.0214
0.7384	2.55	1020	0.7513	0.2378	0.2971	0.7978	nan	0.8575	0.9361	0.6079	0.3507	nan	0.4339	0.6078	0.9337	nan	0.0	0.8237	0.4384	0.0862	nan	0.2071	0.9175	0.9434	0.9726	0.0933	nan	0.5855	0.8541	0.5126	0.2705	nan	0.3202	0.4578	0.7333	nan	0.0	0.6607	0.3288	0.0849	nan	0.1632	0.7833	0.6521	0.8803	0.0829
0.4505	2.6	1040	0.6991	0.2419	0.2946	0.8065	nan	0.8519	0.9496	0.5998	0.4032	nan	0.4200	0.6174	0.9215	nan	0.0	0.9099	0.3669	0.0730	nan	0.1828	0.9343	0.8852	0.9646	0.0513	nan	0.6016	0.8521	0.5216	0.3007	nan	0.3368	0.4736	0.7485	nan	0.0	0.6427	0.3000	0.0723	nan	0.1543	0.8127	0.7390	0.8936	0.0483

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Feb 13, 2024
Updated: Mar 14, 2024