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
Descripción
Sumario: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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