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Dataset of manually classified images obtained from a construction site
A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933580/ https://www.ncbi.nlm.nih.gov/pubmed/35313499 http://dx.doi.org/10.1016/j.dib.2022.108042 |
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author | Del Savio, Alexandre Luna, Ana Cárdenas-Salas, Daniel Vergara, Mónica Urday, Gianella |
author_facet | Del Savio, Alexandre Luna, Ana Cárdenas-Salas, Daniel Vergara, Mónica Urday, Gianella |
author_sort | Del Savio, Alexandre |
collection | PubMed |
description | A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields. |
format | Online Article Text |
id | pubmed-8933580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89335802022-03-20 Dataset of manually classified images obtained from a construction site Del Savio, Alexandre Luna, Ana Cárdenas-Salas, Daniel Vergara, Mónica Urday, Gianella Data Brief Data Article A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields. Elsevier 2022-03-12 /pmc/articles/PMC8933580/ /pubmed/35313499 http://dx.doi.org/10.1016/j.dib.2022.108042 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Del Savio, Alexandre Luna, Ana Cárdenas-Salas, Daniel Vergara, Mónica Urday, Gianella Dataset of manually classified images obtained from a construction site |
title | Dataset of manually classified images obtained from a construction site |
title_full | Dataset of manually classified images obtained from a construction site |
title_fullStr | Dataset of manually classified images obtained from a construction site |
title_full_unstemmed | Dataset of manually classified images obtained from a construction site |
title_short | Dataset of manually classified images obtained from a construction site |
title_sort | dataset of manually classified images obtained from a construction site |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933580/ https://www.ncbi.nlm.nih.gov/pubmed/35313499 http://dx.doi.org/10.1016/j.dib.2022.108042 |
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