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...

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Detalles Bibliográficos
Autores principales: Del Savio, Alexandre, Luna, Ana, Cárdenas-Salas, Daniel, Vergara, Mónica, Urday, Gianella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
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.
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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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