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Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)

In this data paper, we propose an open dataset (named SROADEX) containing more than 527,000 image tiles of 256 × 256 pixels stored in the lossless PNG format, tagged at pixel level with road information. The dataset covers approximately 8650 km(2) of the Spanish territory, is divided in train, valid...

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Detalles Bibliográficos
Autores principales: Manso-Callejo, Miguel-Ángel, Cira, Calimanut-Ionut, González-Jiménez, Alicia, Querol-Pascual, José-Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168474/
https://www.ncbi.nlm.nih.gov/pubmed/35677455
http://dx.doi.org/10.1016/j.dib.2022.108316
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author Manso-Callejo, Miguel-Ángel
Cira, Calimanut-Ionut
González-Jiménez, Alicia
Querol-Pascual, José-Javier
author_facet Manso-Callejo, Miguel-Ángel
Cira, Calimanut-Ionut
González-Jiménez, Alicia
Querol-Pascual, José-Javier
author_sort Manso-Callejo, Miguel-Ángel
collection PubMed
description In this data paper, we propose an open dataset (named SROADEX) containing more than 527,000 image tiles of 256 × 256 pixels stored in the lossless PNG format, tagged at pixel level with road information. The dataset covers approximately 8650 km(2) of the Spanish territory, is divided in train, validation and test sets and can be used by researchers and professionals for training other extraction solutions and benchmarking additional models. The SROADEX dataset is available under a CC-BY 4.0 licence and can be freely downloaded from the Zenodo repository.
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spelling pubmed-91684742022-06-07 Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX) Manso-Callejo, Miguel-Ángel Cira, Calimanut-Ionut González-Jiménez, Alicia Querol-Pascual, José-Javier Data Brief Data Article In this data paper, we propose an open dataset (named SROADEX) containing more than 527,000 image tiles of 256 × 256 pixels stored in the lossless PNG format, tagged at pixel level with road information. The dataset covers approximately 8650 km(2) of the Spanish territory, is divided in train, validation and test sets and can be used by researchers and professionals for training other extraction solutions and benchmarking additional models. The SROADEX dataset is available under a CC-BY 4.0 licence and can be freely downloaded from the Zenodo repository. Elsevier 2022-05-28 /pmc/articles/PMC9168474/ /pubmed/35677455 http://dx.doi.org/10.1016/j.dib.2022.108316 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Manso-Callejo, Miguel-Ángel
Cira, Calimanut-Ionut
González-Jiménez, Alicia
Querol-Pascual, José-Javier
Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title_full Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title_fullStr Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title_full_unstemmed Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title_short Dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the Spanish territory (SROADEX)
title_sort dataset containing orthoimages tagged with road information covering approximately 8650 km(2) of the spanish territory (sroadex)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168474/
https://www.ncbi.nlm.nih.gov/pubmed/35677455
http://dx.doi.org/10.1016/j.dib.2022.108316
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