segformer-b0-finetuned-segments-sidewalk-2

diegola123/segformer-b0-finetuned-segments-sidewalk-2

segformer-b0-finetuned-segments-sidewalk-2 is a image segmentation model from diegola123. 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: Apr 14, 2024
Updated: Apr 14, 2024
SHA: 36a52443

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: 2.1850
Mean Iou: 0.0074
Mean Accuracy: 0.0858
Overall Accuracy: 0.0532
Accuracy Unlabeled: 0.0
Accuracy Flat-road: 0.0521
Accuracy Flat-sidewalk: 0.2880
Accuracy Flat-crosswalk: 0.0002
Accuracy Flat-cyclinglane: 0.0414
Accuracy Flat-parkingdriveway: nan
Accuracy Flat-railtrack: 0.0
Accuracy Flat-curb: 0.0
Accuracy Human-person: 0.0
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.7261
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: 0.0
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: nan
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8347
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.0011
Accuracy Construction-fenceguardrail: 0.0
Accuracy Construction-bridge: nan
Accuracy Construction-tunnel: 0.0
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.0
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.7158
Accuracy Nature-terrain: 0.0
Accuracy Sky: 0.0001
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0
Accuracy Void-static: 0.0
Accuracy Void-unclear: nan
Iou Unlabeled: 0.0
Iou Flat-road: 0.0373
Iou Flat-sidewalk: 0.0114
Iou Flat-crosswalk: 0.0002
Iou Flat-cyclinglane: 0.0279
Iou Flat-parkingdriveway: 0.0
Iou Flat-railtrack: 0.0
Iou Flat-curb: 0.0
Iou Human-person: 0.0
Iou Human-rider: 0.0
Iou Vehicle-car: 0.0081
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: 0.0
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: nan
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.0229
Iou Construction-door: 0.0
Iou Construction-wall: 0.0011
Iou Construction-fenceguardrail: 0.0
Iou Construction-bridge: 0.0
Iou Construction-tunnel: 0.0
Iou Construction-stairs: 0.0
Iou Object-pole: 0.0
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.1347
Iou Nature-terrain: 0.0
Iou Sky: 0.0000
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0
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: 1e-06
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 40

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-bus	Accuracy Vehicle-motorcycle	Accuracy Vehicle-bicycle	Accuracy Vehicle-cartrailer	Accuracy Construction-building	Accuracy Construction-door	Accuracy Construction-wall	Accuracy Construction-bridge	Accuracy Construction-stairs	Accuracy Object-pole	Accuracy Object-trafficsign	Accuracy Object-trafficlight	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-ground	Accuracy Void-dynamic	Accuracy Void-static	Accuracy Void-unclear	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-crosswalk	Iou Flat-cyclinglane	Iou Flat-railtrack	Iou Flat-curb	Iou Human-person	Iou Human-rider	Iou Vehicle-car	Iou Vehicle-bus	Iou Vehicle-motorcycle	Iou Vehicle-bicycle	Iou Vehicle-cartrailer	Iou Construction-building	Iou Construction-door	Iou Construction-wall	Iou Construction-stairs	Iou Object-pole	Iou Object-trafficsign	Iou Object-trafficlight	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-ground	Iou Void-dynamic	Iou Void-static	Iou Void-unclear
3.583	0.43	50	3.5690	0.0035	0.0283	0.0143	0.0179	0.0003	0.0008	0.0087	0.2546	nan	0.0010	0.0022	0.0015	0.0234	0.2546	0.0330	0.0004	nan	0.0105	0.0	0.0027	0.0120	nan	0.0000	0.0061	0.0439	0.0009	0.0312	0.0055	0.0143	0.0679	0.0008	0.0841	nan	0.0156	0.0003	0.0008	0.0069	0.0354	0.0007	0.0004	0.0001	0.0096	0.0010	0.0001	0.0001	0.0	0.0097	0.0	0.0023	0.0081	0.0000	0.0033	0.0005	0.0009	0.0144	0.0041	0.0056	0.0014	0.0007	0.0001	0.0
3.541	0.85	100	3.5349	0.0040	0.0309	0.0152	0.0195	0.0003	0.0033	0.0139	0.2434	nan	0.0007	0.0027	0.0032	0.0195	0.3347	0.0174	0.0005	nan	0.0105	0.0003	0.0033	0.0132	nan	0.0	0.0086	0.0445	0.0007	0.0547	0.0053	0.0147	0.0689	0.0011	0.0731	nan	0.0166	0.0003	0.0029	0.0102	0.0339	0.0005	0.0004	0.0002	0.0079	0.0013	0.0000	0.0001	0.0	0.0098	0.0002	0.0028	0.0089	0.0	0.0046	0.0005	0.0007	0.0263	0.0039	0.0056	0.0014	0.0009	0.0001	0.0
3.4975	1.28	150	3.5016	0.0044	0.0336	0.0165	0.0157	0.0004	0.0078	0.0120	0.2803	nan	0.0004	0.0011	0.0018	0.0176	0.4099	0.0113	0.0004	nan	0.0090	0.0008	0.0025	0.0113	nan	0.0	0.0141	0.0421	0.0004	0.0806	0.0057	0.0142	0.0624	0.0011	0.0390	nan	0.0136	0.0004	0.0044	0.0095	0.0338	0.0003	0.0002	0.0001	0.0071	0.0016	0.0000	0.0001	0.0	0.0085	0.0005	0.0022	0.0085	0.0	0.0073	0.0004	0.0004	0.0415	0.0042	0.0057	0.0015	0.0009	0.0000	0.0
3.5169	1.71	200	3.4636	0.0052	0.0399	0.0195	0.0159	0.0003	0.0224	0.0081	0.3090	nan	0.0002	0.0010	0.0022	0.0136	0.4941	0.0071	0.0003	nan	0.0112	0.0032	0.0018	0.0168	nan	0.0	0.0127	0.0408	0.0002	0.1364	0.0040	0.0128	0.0652	0.0014	0.0562	nan	0.0138	0.0003	0.0047	0.0068	0.0366	0.0001	0.0002	0.0002	0.0062	0.0021	0.0000	0.0000	0.0	0.0106	0.0016	0.0017	0.0111	0.0	0.0071	0.0006	0.0002	0.0657	0.0031	0.0052	0.0017	0.0012	0.0000	0.0
3.3938	2.14	250	3.4255	0.0057	0.0433	0.0208	0.0139	0.0005	0.0461	0.0090	0.2873	nan	0.0002	0.0015	0.0016	0.0119	0.5499	0.0067	0.0003	nan	0.0101	0.0044	0.0021	0.0197	nan	0.0	0.0134	0.0390	0.0001	0.1878	0.0037	0.0157	0.0644	0.0011	0.0534	nan	0.0121	0.0005	0.0054	0.0075	0.0382	0.0001	0.0003	0.0002	0.0052	0.0025	0.0000	0.0000	0.0	0.0096	0.0021	0.0019	0.0132	0.0	0.0071	0.0006	0.0001	0.0801	0.0029	0.0062	0.0018	0.0010	0.0000	0.0
3.4231	2.56	300	3.3861	0.0062	0.0466	0.0232	0.0130	0.0005	0.0759	0.0072	0.2834	nan	0.0001	0.0006	0.0022	0.0097	0.5913	0.0017	0.0003	nan	0.0109	0.0069	0.0018	0.0223	nan	0.0	0.0136	0.0389	0.0000	0.2467	0.0033	0.0148	0.0719	0.0010	0.0262	nan	0.0113	0.0005	0.0060	0.0062	0.0426	0.0001	0.0002	0.0003	0.0045	0.0031	0.0000	0.0001	0.0	0.0105	0.0031	0.0016	0.0150	0.0	0.0072	0.0008	0.0000	0.0909	0.0027	0.0059	0.0019	0.0010	0.0000	0.0
3.3664	2.99	350	3.3542	0.0065	0.0503	0.0246	0.0112	0.0006	0.1034	0.0054	0.2629	nan	0.0002	0.0002	0.0015	0.0066	0.6758	0.0009	0.0002	nan	0.0073	0.0123	0.0020	0.0218	nan	0.0	0.0118	0.0363	0.0	0.3115	0.0032	0.0066	0.0634	0.0008	0.0131	nan	0.0099	0.0006	0.0065	0.0048	0.0455	0.0001	0.0001	0.0002	0.0035	0.0031	0.0000	0.0000	0.0	0.0071	0.0042	0.0019	0.0151	0.0	0.0072	0.0008	0.0	0.1091	0.0027	0.0030	0.0021	0.0007	0.0000	0.0
3.3089	3.42	400	3.3039	0.0069	0.0551	0.0281	0.0107	0.0006	0.1407	0.0043	0.2687	nan	0.0002	0.0002	0.0011	0.0051	0.6984	0.0002	0.0002	nan	0.0081	0.0164	0.0018	0.0267	nan	0.0	0.0104	0.0366	0.0	0.3861	0.0041	0.0079	0.0729	0.0007	0.0069	nan	0.0094	0.0006	0.0075	0.0039	0.0495	0.0002	0.0001	0.0002	0.0025	0.0037	0.0000	0.0000	0.0	0.0079	0.0054	0.0018	0.0179	0.0	0.0066	0.0010	0.0	0.1123	0.0033	0.0032	0.0025	0.0007	0.0000	0.0
3.2464	3.85	450	3.2705	0.0070	0.0575	0.0288	0.0092	0.0006	0.1587	0.0043	0.2538	nan	0.0001	0.0	0.0001	0.0027	0.7500	0.0001	0.0001	nan	0.0068	0.0248	0.0020	0.0284	nan	0.0	0.0089	0.0347	0.0	0.4160	0.0040	0.0057	0.0694	0.0005	0.0007	nan	0.0083	0.0006	0.0080	0.0040	0.0504	0.0001	0.0	0.0000	0.0016	0.0036	0.0000	0.0000	0.0	0.0067	0.0065	0.0019	0.0191	0.0	0.0060	0.0012	0.0	0.1181	0.0032	0.0025	0.0026	0.0005	0.0000	0.0
3.2788	4.27	500	3.2230	0.0074	0.0616	0.0320	0.0100	0.0009	0.1784	0.0041	0.2465	nan	0.0001	0.0	0.0	0.0020	0.7658	0.0	0.0001	nan	0.0060	0.0325	0.0018	0.0373	nan	0.0	0.0075	0.0318	0.0	0.4977	0.0046	0.0049	0.0783	0.0004	0.0	nan	0.0089	0.0009	0.0084	0.0038	0.0523	0.0001	0.0	0.0	0.0012	0.0040	0.0	0.0000	0.0	0.0058	0.0071	0.0018	0.0231	0.0	0.0048	0.0013	0.0	0.1257	0.0037	0.0023	0.0029	0.0004	0.0	0.0
3.2179	4.7	550	3.1821	0.0074	0.0641	0.0337	0.0090	0.0011	0.2000	0.0030	0.2313	nan	0.0001	0.0	0.0	0.0016	0.7777	0.0	0.0000	nan	0.0054	0.0473	0.0018	0.0371	nan	0.0	0.0042	0.0317	0.0	0.5484	0.0049	0.0047	0.0782	0.0004	0.0	nan	0.0081	0.0011	0.0090	0.0028	0.0523	0.0001	0.0	0.0	0.0010	0.0042	0.0	0.0000	0.0	0.0053	0.0088	0.0018	0.0229	0.0	0.0027	0.0016	0.0	0.1282	0.0039	0.0022	0.0034	0.0003	0.0	0.0
3.1906	5.13	600	3.1424	0.0074	0.0651	0.0338	0.0104	0.0015	0.2149	0.0034	0.2067	nan	0.0001	0.0	0.0	0.0011	0.8076	0.0	0.0	nan	0.0044	0.0642	0.0017	0.0322	nan	0.0	0.0024	0.0266	0.0	0.5584	0.0044	0.0047	0.0734	0.0002	0.0	nan	0.0093	0.0015	0.0094	0.0032	0.0515	0.0001	0.0	0.0	0.0008	0.0041	0.0	0.0	0.0	0.0044	0.0099	0.0017	0.0211	0.0	0.0016	0.0016	0.0	0.1304	0.0035	0.0021	0.0034	0.0002	0.0	0.0
3.2075	5.56	650	3.1091	0.0075	0.0678	0.0367	0.0088	0.0019	0.2249	0.0032	0.2201	nan	0.0000	0.0	0.0	0.0009	0.8058	0.0	0.0	nan	0.0035	0.0846	0.0014	0.0332	nan	0.0	0.0009	0.0145	0.0	0.6252	0.0050	0.0049	0.0639	0.0002	0.0	nan	0.0080	0.0018	0.0096	0.0030	0.0525	0.0000	0.0	0.0	0.0006	0.0042	0.0	0.0	0.0	0.0034	0.0114	0.0014	0.0220	0.0	0.0007	0.0013	0.0	0.1327	0.0041	0.0022	0.0035	0.0002	0.0	0.0
3.0888	5.98	700	3.0596	0.0075	0.0690	0.0364	0.0080	0.0025	0.2672	0.0028	0.1936	nan	0.0001	0.0	0.0	0.0008	0.8043	0.0	0.0	nan	0.0033	0.1121	0.0018	0.0380	nan	0.0000	0.0007	0.0109	0.0	0.6151	0.0053	0.0040	0.0672	0.0001	0.0	nan	0.0073	0.0024	0.0108	0.0027	0.0502	0.0001	0.0	0.0	0.0006	0.0044	0.0	0.0	0.0	0.0033	0.0125	0.0018	0.0244	0.0000	0.0005	0.0012	0.0	0.1313	0.0043	0.0017	0.0041	0.0001	0.0	0.0
3.1177	6.41	750	3.0297	0.0075	0.0700	0.0387	0.0082	0.0029	0.2403	0.0022	0.2030	nan	0.0000	0.0	0.0	0.0004	0.8050	0.0	0.0	nan	0.0028	0.1223	0.0012	0.0318	nan	0.0000	0.0	0.0030	0.0	0.6823	0.0056	0.0042	0.0556	0.0001	0.0	nan	0.0077	0.0028	0.0099	0.0022	0.0513	0.0000	0.0	0.0	0.0003	0.0042	0.0	0.0	0.0	0.0028	0.0131	0.0012	0.0210	0.0000	0.0	0.0005	0.0	0.1343	0.0045	0.0018	0.0039	0.0001	0.0	0.0
3.0981	6.84	800	2.9921	0.0075	0.0716	0.0382	0.0071	0.0029	0.3004	0.0017	0.1831	nan	0.0000	0.0	0.0	0.0004	0.8008	0.0	0.0	nan	0.0026	0.1617	0.0013	0.0377	nan	0.0000	0.0	0.0003	0.0	0.6584	0.0052	0.0035	0.0532	0.0001	0.0	nan	0.0066	0.0028	0.0117	0.0016	0.0489	0.0000	0.0	0.0	0.0003	0.0045	0.0	0.0	0.0	0.0026	0.0139	0.0013	0.0245	0.0000	0.0	0.0001	0.0	0.1324	0.0042	0.0013	0.0044	0.0001	0.0	0.0
2.9986	7.26	850	2.9500	0.0073	0.0718	0.0379	0.0051	0.0029	0.3269	0.0015	0.1622	nan	0.0000	0.0	0.0	0.0002	0.7995	0.0	0.0	nan	0.0019	0.1661	0.0011	0.0342	nan	0.0000	0.0	0.0	0.0	0.6631	0.0057	0.0034	0.0505	0.0000	0.0	nan	0.0049	0.0028	0.0124	0.0015	0.0477	0.0000	0.0	0.0	0.0002	0.0043	0.0	0.0	0.0	0.0019	0.0139	0.0011	0.0226	0.0000	0.0	0.0	0.0	0.1328	0.0044	0.0012	0.0047	0.0000	0.0	0.0
3.01	7.69	900	2.9155	0.0075	0.0726	0.0397	0.0057	0.0048	0.2827	0.0016	0.1780	nan	0.0	0.0	0.0	0.0001	0.7988	0.0	0.0	nan	0.0018	0.1896	0.0014	0.0313	nan	0.0	0.0	0.0	0.0	0.7004	0.0053	0.0027	0.0462	0.0	0.0	nan	0.0054	0.0044	0.0112	0.0016	0.0495	0.0	0.0	0.0	0.0001	0.0043	0.0	0.0	0.0	0.0018	0.0146	0.0014	0.0215	0.0	0.0	0.0	0.0	0.1358	0.0041	0.0010	0.0043	0.0	0.0	0.0
2.7829	8.12	950	2.9108	0.0075	0.0737	0.0396	0.0046	0.0056	0.3126	0.0016	0.1523	nan	0.0	0.0	0.0	0.0001	0.7949	0.0	0.0	nan	0.0012	0.2263	0.0013	0.0359	nan	0.0000	0.0	0.0	0.0	0.6970	0.0047	0.0030	0.0449	0.0	0.0	nan	0.0045	0.0051	0.0120	0.0016	0.0474	0.0	0.0	0.0	0.0001	0.0045	0.0	0.0	0.0	0.0012	0.0158	0.0013	0.0238	0.0000	0.0	0.0	0.0	0.1359	0.0036	0.0010	0.0057	0.0	0.0	0.0
2.8855	8.55	1000	2.8632	0.0075	0.0762	0.0407	0.0035	0.0060	0.3065	0.0012	0.1668	nan	0.0	0.0	0.0	0.0000	0.7886	0.0	0.0	nan	0.0011	0.2899	0.0015	0.0307	nan	0.0000	0.0	0.0	0.0	0.7177	0.0046	0.0028	0.0425	0.0	0.0	nan	0.0034	0.0053	0.0118	0.0012	0.0482	0.0	0.0	0.0	0.0000	0.0047	0.0	0.0	0.0	0.0011	0.0177	0.0015	0.0216	0.0000	0.0	0.0	0.0	0.1363	0.0035	0.0008	0.0067	0.0	0.0	0.0
2.9367	8.97	1050	2.8275	0.0073	0.0747	0.0400	0.0028	0.0064	0.3273	0.0011	0.1432	nan	0.0	0.0	0.0	0.0000	0.7941	0.0	0.0	nan	0.0007	0.2668	0.0013	0.0213	nan	0.0	0.0	0.0	0.0	0.7122	0.0036	0.0029	0.0306	0.0	0.0	nan	0.0027	0.0057	0.0123	0.0011	0.0455	0.0	0.0	0.0	0.0000	0.0044	0.0	0.0	0.0	0.0007	0.0169	0.0013	0.0157	0.0	0.0	0.0	0.0	0.1387	0.0028	0.0007	0.0061	0.0	0.0	0.0
2.7874	9.4	1100	2.7847	0.0072	0.0772	0.0396	0.0020	0.0044	0.3967	0.0012	0.1218	nan	0.0	0.0	0.0	0.0000	0.7892	0.0	0.0	nan	0.0007	0.3182	0.0009	0.0262	nan	0.0	0.0	0.0	0.0	0.7052	0.0033	0.0022	0.0224	0.0	0.0	nan	0.0020	0.0040	0.0142	0.0012	0.0427	0.0	0.0	0.0	0.0000	0.0045	0.0	0.0	0.0	0.0007	0.0183	0.0009	0.0183	0.0	0.0	0.0	0.0	0.1382	0.0025	0.0005	0.0057	0.0	0.0	0.0
2.7519	9.83	1150	2.7757	0.0074	0.0773	0.0408	0.0016	0.0078	0.3511	0.0007	0.1389	nan	0.0	0.0	0.0	0.0000	0.7855	0.0	0.0	nan	0.0005	0.3444	0.0012	0.0257	nan	0.0	0.0	0.0	0.0	0.7131	0.0030	0.0018	0.0220	0.0	0.0	nan	0.0016	0.0068	0.0130	0.0007	0.0451	0.0	0.0	0.0	0.0000	0.0048	0.0	0.0	0.0	0.0005	0.0190	0.0012	0.0186	0.0	0.0	0.0	0.0	0.1375	0.0023	0.0004	0.0067	0.0	0.0	0.0
2.8513	10.26	1200	2.7939	0.0076	0.0773	0.0420	0.0021	0.0113	0.3051	0.0007	0.1357	nan	0.0	0.0	0.0	0.0	0.7816	0.0	0.0	nan	0.0003	0.3811	0.0013	0.0213	nan	0.0	0.0	0.0	0.0	0.7334	0.0018	0.0024	0.0175	0.0	0.0	nan	0.0021	0.0096	0.0117	0.0007	0.0452	0.0	0.0	0.0	0.0	0.0047	0.0	0.0	nan	0.0003	0.0194	0.0013	0.0157	0.0	0.0	0.0	0.0	0.1406	0.0014	0.0005	0.0058	0.0	0.0	0.0
2.9147	10.68	1250	2.7415	0.0073	0.0800	0.0437	0.0016	0.0124	0.3254	0.0004	0.1348	nan	0.0	0.0	0.0	0.0000	0.7681	0.0	0.0	nan	0.0003	0.4424	0.0013	0.0158	nan	0.0	0.0	0.0	0.0	0.7583	0.0027	0.0016	0.0161	0.0	0.0	nan	0.0016	0.0105	0.0123	0.0004	0.0444	0.0	0.0	0.0	0.0000	0.0055	0.0	0.0	0.0	0.0003	0.0210	0.0013	0.0118	0.0	0.0	0.0	0.0	0.1361	0.0020	0.0004	0.0062	0.0	0.0	0.0
2.9311	11.11	1300	2.7368	0.0071	0.0793	0.0437	0.0013	0.0122	0.3176	0.0005	0.1358	nan	0.0	0.0	0.0	0.0	0.7735	0.0	0.0	nan	0.0001	0.4230	0.0011	0.0100	nan	0.0	0.0	0.0	0.0	0.7709	0.0014	0.0014	0.0102	0.0	0.0	nan	0.0012	0.0103	0.0121	0.0005	0.0446	0.0	0.0	0.0	0.0	0.0051	0.0	0.0	0.0	0.0001	0.0205	0.0011	0.0079	0.0	0.0	0.0	0.0	0.1390	0.0011	0.0003	0.0044	0.0	0.0	0.0
2.7803	11.54	1350	2.6650	0.0074	0.0813	0.0444	0.0014	0.0140	0.3329	0.0005	0.1260	nan	0.0	0.0	0.0	0.0000	0.7640	0.0	0.0	nan	0.0002	0.4862	0.0011	0.0122	nan	0.0	0.0	0.0	0.0	0.7668	0.0018	0.0015	0.0107	0.0	0.0	nan	0.0014	0.0116	0.0125	0.0005	0.0432	0.0	0.0	0.0	0.0000	0.0057	0.0	0.0	nan	0.0002	0.0218	0.0011	0.0093	0.0	0.0	0.0	0.0	0.1369	0.0014	0.0003	0.0050	0.0	0.0	0.0
2.8496	11.97	1400	2.6764	0.0073	0.0794	0.0434	0.0009	0.0170	0.3417	0.0005	0.0959	nan	0.0	0.0	0.0	0.0	0.7733	0.0	0.0	nan	0.0001	0.4785	0.0010	0.0090	nan	0.0	0.0	0.0	0.0	0.7354	0.0010	0.0012	0.0066	0.0	0.0	nan	0.0009	0.0139	0.0128	0.0005	0.0392	0.0	0.0	0.0	0.0	0.0051	0.0	0.0	nan	0.0001	0.0210	0.0010	0.0073	0.0	0.0	0.0	0.0	0.1408	0.0007	0.0002	0.0035	0.0	0.0	0.0
2.9356	12.39	1450	2.6741	0.0075	0.0819	0.0451	0.0009	0.0190	0.3118	0.0005	0.1236	nan	0.0	0.0	0.0	0.0	0.7635	0.0	0.0	nan	0.0001	0.5493	0.0008	0.0110	nan	0.0	0.0	0.0	0.0	0.7487	0.0006	0.0008	0.0074	0.0	0.0	nan	0.0009	0.0154	0.0120	0.0005	0.0447	0.0	0.0	0.0	0.0	0.0055	0.0	0.0	nan	0.0001	0.0220	0.0008	0.0086	0.0	0.0	0.0	0.0	0.1411	0.0004	0.0002	0.0040	0.0	0.0	0.0
2.7973	12.82	1500	2.6146	0.0073	0.0828	0.0454	0.0007	0.0191	0.3251	0.0005	0.1108	nan	0.0	0.0	0.0	0.0	0.7611	0.0	0.0	nan	0.0001	0.5792	0.0008	0.0056	nan	0.0	0.0	0.0	0.0	0.7606	0.0005	0.0009	0.0028	0.0	0.0	nan	0.0007	0.0155	0.0123	0.0004	0.0422	0.0	0.0	0.0	0.0	0.0056	0.0	0.0	nan	0.0001	0.0227	0.0008	0.0046	0.0	0.0	0.0	0.0	0.1418	0.0003	0.0002	0.0018	0.0	0.0	0.0
2.5603	13.25	1550	2.6177	0.0074	0.0830	0.0463	0.0007	0.0228	0.3112	0.0006	0.1018	nan	0.0	0.0	0.0	0.0	0.7591	0.0	0.0	nan	0.0000	0.6096	0.0007	0.0062	nan	0.0	0.0	0.0	0.0	0.7584	0.0002	0.0007	0.0022	0.0	0.0	nan	0.0007	0.0181	0.0120	0.0006	0.0412	0.0	0.0	0.0	0.0	0.0056	0.0	0.0	nan	0.0000	0.0228	0.0007	0.0051	0.0	0.0	0.0	0.0	0.1425	0.0001	0.0001	0.0015	0.0	0.0	0.0
2.7181	13.68	1600	2.5973	0.0074	0.0822	0.0472	0.0005	0.0246	0.2926	0.0005	0.1116	nan	0.0	0.0	0.0	0.0	0.7616	0.0	0.0	nan	0.0001	0.5796	0.0007	0.0033	nan	0.0	0.0	0.0	0.0	0.7706	0.0002	0.0003	0.0013	0.0	0.0	nan	0.0005	0.0195	0.0114	0.0005	0.0438	0.0	0.0	0.0	0.0	0.0056	0.0	0.0	nan	0.0001	0.0230	0.0007	0.0028	0.0	0.0	0.0	0.0	0.1411	0.0002	0.0001	0.0009	0.0	0.0	0.0
2.6034	14.1	1650	2.5914	0.0073	0.0843	0.0469	0.0005	0.0228	0.3196	0.0004	0.1056	nan	0.0	0.0	0.0	0.0	0.7544	0.0	0.0	nan	0.0001	0.6371	0.0006	0.0031	nan	0.0	0.0	0.0	0.0	0.7686	0.0002	0.0004	0.0013	0.0	0.0	nan	0.0005	0.0181	0.0122	0.0004	0.0417	0.0	0.0	0.0	0.0	0.0060	0.0	0.0	nan	0.0001	0.0238	0.0006	0.0027	0.0	0.0	0.0	0.0	0.1402	0.0001	0.0001	0.0009	0.0	0.0	0.0
2.6792	14.53	1700	2.5773	0.0073	0.0857	0.0463	0.0003	0.0232	0.3367	0.0005	0.0953	nan	0.0	0.0	0.0	0.0	0.7459	0.0	0.0	nan	0.0000	0.7004	0.0004	0.0066	nan	0.0	0.0	0.0	0.0	0.7443	0.0000	0.0002	0.0015	0.0	0.0	nan	0.0003	0.0184	0.0127	0.0005	0.0395	0.0	0.0	0.0	0.0	0.0062	0.0	0.0	nan	0.0000	0.0237	0.0004	0.0055	0.0	0.0	0.0	0.0	0.1410	0.0000	0.0000	0.0011	0.0	0.0	0.0
2.5936	14.96	1750	2.5147	0.0072	0.0859	0.0459	0.0003	0.0228	0.3530	0.0005	0.0813	nan	0.0	0.0	0.0	0.0	0.7462	0.0	0.0	nan	0.0000	0.7110	0.0004	0.0043	nan	0.0	0.0	0.0	0.0	0.7411	0.0000	0.0002	0.0006	0.0	0.0	nan	0.0003	0.0181	0.0131	0.0005	0.0362	0.0	0.0	0.0	0.0	0.0062	0.0	0.0	nan	0.0000	0.0236	0.0004	0.0037	0.0	0.0	0.0	0.0	0.1414	0.0000	0.0000	0.0005	0.0	0.0	0.0
2.7846	15.38	1800	2.5288	0.0074	0.0855	0.0491	0.0003	0.0307	0.3131	0.0004	0.0913	nan	0.0	0.0	0.0	0.0	0.7464	0.0	0.0	nan	0.0000	0.6968	0.0005	0.0032	nan	0.0	0.0	0.0	0.0	0.7653	0.0000	0.0001	0.0008	0.0	0.0	nan	0.0003	0.0237	0.0121	0.0004	0.0395	0.0	0.0	0.0	0.0	0.0063	0.0	0.0	nan	0.0000	0.0242	0.0005	0.0028	0.0	0.0	0.0	0.0	0.1411	0.0000	0.0000	0.0006	0.0	0.0	0.0
2.7533	15.81	1850	2.5347	0.0074	0.0849	0.0480	0.0002	0.0296	0.3023	0.0005	0.0928	nan	0.0	0.0	0.0	0.0	0.7478	0.0	0.0	nan	0.0000	0.7060	0.0004	0.0031	nan	0.0	0.0	0.0	0.0	0.7481	0.0000	0.0001	0.0002	0.0	0.0	nan	0.0002	0.0229	0.0117	0.0005	0.0408	0.0	0.0	0.0	0.0	0.0060	0.0	0.0	nan	0.0000	0.0239	0.0004	0.0027	0.0	0.0	0.0	0.0	0.1413	0.0000	0.0000	0.0001	0.0	0.0	0.0
2.6202	16.24	1900	2.5233	0.0074	0.0854	0.0484	0.0002	0.0319	0.3158	0.0005	0.0869	nan	0.0	0.0	0.0	0.0	0.7452	0.0	0.0	nan	0.0000	0.7275	0.0004	0.0038	nan	0.0	0.0	0.0	0.0	0.7336	0.0	0.0000	0.0003	0.0	0.0	nan	0.0002	0.0246	0.0121	0.0005	0.0393	0.0	0.0	0.0	0.0	0.0062	0.0	0.0	nan	0.0000	0.0235	0.0004	0.0034	0.0	0.0	0.0	0.0	0.1412	0.0	0.0000	0.0002	0.0	0.0	0.0
2.7831	16.67	1950	2.4872	0.0072	0.0865	0.0486	0.0001	0.0311	0.3382	0.0005	0.0763	nan	0.0	0.0	0.0	0.0	0.7401	0.0	0.0	nan	0.0000	0.7483	0.0002	0.0027	nan	0.0	0.0	0.0	0.0	0.7429	0.0000	0.0000	0.0006	0.0	0.0	nan	0.0001	0.0240	0.0128	0.0005	0.0355	0.0	0.0	0.0	0.0	0.0067	0.0	0.0	nan	0.0000	0.0240	0.0002	0.0024	0.0	0.0	0.0	0.0	0.1395	0.0000	0.0000	0.0005	0.0	0.0	0.0
2.6771	17.09	2000	2.4556	0.0073	0.0866	0.0501	0.0002	0.0324	0.3120	0.0006	0.0705	nan	0.0	0.0	0.0	0.0	0.7385	0.0	0.0	nan	0.0000	0.7390	0.0002	0.0023	nan	0.0	0.0	0.0	0.0	0.7900	0.0	0.0000	0.0001	0.0	0.0	nan	0.0002	0.0248	0.0120	0.0005	0.0346	0.0	0.0	0.0	0.0	0.0067	0.0	0.0	nan	0.0000	0.0243	0.0002	0.0020	0.0	0.0	0.0	0.0	0.1415	0.0	0.0000	0.0000	0.0	0.0	0.0
2.4096	17.52	2050	2.4846	0.0075	0.0859	0.0507	0.0001	0.0400	0.2959	0.0005	0.0812	nan	0.0	0.0	0.0	0.0	0.7376	0.0	0.0	nan	0.0000	0.7732	0.0002	0.0027	nan	0.0	0.0	0.0	0.0	0.7321	0.0	0.0000	0.0005	0.0	0.0	nan	0.0001	0.0301	0.0116	0.0005	0.0383	0.0	0.0	0.0	0.0	0.0069	0.0	0.0	nan	0.0000	0.0234	0.0002	0.0024	0.0	0.0	0.0	0.0	0.1399	0.0	0.0000	0.0004	0.0	0.0	0.0
2.4462	17.95	2100	2.4614	0.0075	0.0857	0.0510	0.0001	0.0405	0.2981	0.0004	0.0742	nan	0.0	0.0	0.0	0.0	0.7409	0.0	0.0	nan	0.0000	0.7569	0.0002	0.0023	nan	0.0	0.0	0.0	0.0	0.7419	0.0	0.0	0.0004	0.0	0.0	nan	0.0001	0.0303	0.0116	0.0004	0.0373	0.0	0.0	0.0	0.0	0.0066	0.0	0.0	nan	0.0000	0.0237	0.0002	0.0021	0.0	0.0	0.0	0.0	0.1409	0.0	0.0	0.0003	0.0	0.0	0.0
2.4129	18.38	2150	2.4534	0.0075	0.0858	0.0504	0.0001	0.0399	0.3024	0.0004	0.0796	nan	0.0	0.0	0.0	0.0	0.7393	0.0	0.0	nan	0.0000	0.7732	0.0001	0.0027	nan	0.0	0.0	0.0	0.0	0.7230	0.0	0.0	0.0003	0.0	0.0	nan	0.0001	0.0300	0.0118	0.0004	0.0388	0.0	0.0	0.0	0.0	0.0068	0.0	0.0	nan	0.0000	0.0235	0.0001	0.0025	0.0	0.0	0.0	0.0	0.1393	0.0	0.0	0.0002	0.0	0.0	0.0
2.4048	18.8	2200	2.4267	0.0073	0.0858	0.0474	0.0001	0.0349	0.3520	0.0004	0.0593	nan	0.0	0.0	0.0	0.0	0.7348	0.0	0.0	nan	0.0	0.7945	0.0001	0.0046	nan	0.0000	0.0	0.0	0.0	0.6776	0.0	0.0000	0.0004	0.0	0.0	nan	0.0001	0.0265	0.0132	0.0004	0.0314	0.0	0.0	0.0	0.0	0.0071	0.0	0.0	nan	0.0	0.0226	0.0001	0.0043	0.0000	0.0	0.0	0.0	0.1353	0.0	0.0000	0.0003	0.0	0.0	nan
2.4369	19.23	2250	2.4101	0.0075	0.0866	0.0501	0.0000	0.0377	0.3220	0.0004	0.0694	nan	0.0	0.0	0.0	0.0	0.7360	0.0	0.0	nan	0.0000	0.7833	0.0001	0.0025	nan	0.0	0.0	0.0	0.0	0.7331	0.0	0.0	0.0001	0.0	0.0	nan	0.0000	0.0284	0.0123	0.0004	0.0352	0.0	0.0	0.0	0.0	0.0070	0.0	0.0	nan	0.0000	0.0233	0.0001	0.0023	0.0	0.0	0.0	0.0	0.1399	0.0	0.0	0.0001	0.0	0.0	nan
2.4132	19.66	2300	2.4152	0.0078	0.0863	0.0530	0.0001	0.0452	0.2873	0.0003	0.0791	nan	0.0	0.0	0.0	0.0	0.7368	0.0	0.0	nan	0.0000	0.7715	0.0001	0.0022	nan	0.0	0.0	0.0	0.0	0.7518	0.0	0.0	0.0000	0.0	0.0	nan	0.0001	0.0334	0.0113	0.0003	0.0395	0.0	0.0	0.0	0.0	0.0070	0.0	0.0	nan	0.0000	0.0238	0.0001	0.0020	0.0	0.0	0.0	0.0	0.1405	0.0	0.0	0.0000	0.0	0.0	nan
2.3273	20.09	2350	2.3988	0.0075	0.0866	0.0500	0.0000	0.0381	0.3221	0.0004	0.0691	nan	0.0	0.0	0.0	0.0	0.7351	0.0	0.0	nan	0.0000	0.7904	0.0001	0.0023	nan	0.0	0.0	0.0	0.0	0.7258	0.0	0.0000	0.0000	0.0	0.0	nan	0.0000	0.0287	0.0124	0.0004	0.0353	0.0	0.0	0.0	0.0	0.0071	0.0	0.0	nan	0.0000	0.0231	0.0001	0.0022	0.0	0.0	0.0	0.0	0.1392	0.0	0.0000	0.0000	0.0	0.0	nan
2.7112	20.51	2400	2.3673	0.0074	0.0866	0.0520	0.0000	0.0426	0.3041	0.0004	0.0661	nan	0.0	0.0	0.0	0.0	0.7337	0.0	0.0	nan	0.0000	0.7843	0.0001	0.0018	nan	0.0	0.0	0.0	0.0	0.7502	0.0	0.0	0.0000	0.0	0.0	nan	0.0000	0.0317	0.0118	0.0004	0.0347	0.0	0.0	0.0	0.0	0.0073	0.0	0.0	nan	0.0000	0.0236	0.0001	0.0017	0.0	0.0	0.0	0.0	0.1397	0.0	0.0	0.0000	0.0	0.0	0.0
2.4112	20.94	2450	2.3806	0.0078	0.0864	0.0528	0.0000	0.0441	0.2836	0.0004	0.0771	nan	0.0	0.0	0.0	0.0	0.7364	0.0	0.0	nan	0.0000	0.7745	0.0001	0.0018	nan	0.0	0.0	0.0	0.0	0.7590	0.0	0.0000	0.0	0.0	0.0	nan	0.0000	0.0327	0.0112	0.0004	0.0391	0.0	0.0	0.0	0.0	0.0069	0.0	0.0	nan	0.0000	0.0235	0.0001	0.0017	0.0	0.0	0.0	0.0	0.1416	0.0	0.0000	0.0	0.0	0.0	nan
2.4846	21.37	2500	2.3986	0.0075	0.0856	0.0530	0.0000	0.0499	0.2838	0.0004	0.0694	nan	0.0	0.0	0.0	0.0	0.7335	0.0	0.0	nan	0.0	0.7987	0.0001	0.0024	nan	0.0	0.0	0.0	0.0	0.7143	0.0	0.0	0.0001	0.0	0.0	nan	0.0000	0.0364	0.0113	0.0004	0.0369	0.0	0.0	0.0	0.0	0.0072	0.0	0.0	nan	0.0	0.0227	0.0001	0.0022	0.0	0.0	0.0	0.0	0.1385	0.0	0.0	0.0001	0.0	0.0	0.0
2.5263	21.79	2550	2.3352	0.0074	0.0864	0.0496	0.0000	0.0387	0.3347	0.0004	0.0515	nan	0.0	0.0	0.0	0.0	0.7344	0.0	0.0	nan	0.0	0.7991	0.0001	0.0022	nan	0.0	0.0	0.0	0.0	0.7161	0.0	0.0000	0.0000	0.0	0.0	nan	0.0000	0.0290	0.0127	0.0004	0.0297	0.0	0.0	0.0	0.0	0.0071	0.0	0.0	nan	0.0	0.0227	0.0001	0.0021	0.0	0.0	0.0	0.0	0.1389	0.0	0.0000	0.0000	0.0	0.0	nan
2.453	22.22	2600	2.3465	0.0076	0.0859	0.0539	0.0000	0.0505	0.2887	0.0003	0.0537	nan	0.0	0.0	0.0	0.0	0.7331	0.0	0.0	nan	0.0000	0.7891	0.0001	0.0023	nan	0.0	0.0	0.0	0.0	0.7443	0.0	0.0000	0.0000	0.0	0.0	nan	0.0000	0.0368	0.0114	0.0003	0.0315	0.0	0.0	0.0	0.0	0.0074	0.0	0.0	nan	0.0000	0.0235	0.0001	0.0021	0.0	0.0	0.0	0.0	0.1386	0.0	0.0000	0.0000	0.0	0.0	nan

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

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Apr 14, 2024
Updated: Apr 14, 2024