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Dataset of manually classified images obtained from a construction site

dc.contributor.authorDel Savio, Alexandre Almeida
dc.contributor.authorLuna Torres, Ana Felícita
dc.contributor.authorCárdenas Salas, Daniel Enrique
dc.contributor.authorVergara Olivera, Mónica Alejandra
dc.contributor.authorUrday Ibarra, Gianella Tania
dc.contributor.otherDel Savio, Alexandre Almeida
dc.contributor.otherLuna Torres, Ana Felícita
dc.contributor.otherCárdenas Salas, Daniel Enrique
dc.contributor.otherVergara Olivera, Mónica Alejandra
dc.date.accessioned2023-03-01T16:00:51Z
dc.date.available2023-03-01T16:00:51Z
dc.date.issued2022
dc.identifier.citationDel Savio A., Luna A., Cárdenas-Salas D., Vergara M. & Urday, G. (2022). Dataset of manually classified images obtained from a construction site. Data in Brief, 42. http://doi.org/10.1016/j.dib.2022.108042es_PE
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/20.500.12724/17770
dc.description.abstractA 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.en_EN
dc.formatapplication/html
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:issn: 2352-3409
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceRepositorio Institucional Ulima
dc.sourceUniversidad de Lima
dc.subjectBuildingen_EN
dc.subjectNeural networks (Computer science)en_EN
dc.subjectPattern perceptionen_EN
dc.subjectImage processingen_EN
dc.subjectConstrucciónes_PE
dc.subjectRedes neuronales (Informática)es_PE
dc.subjectReconocimiento de formases_PE
dc.subjectProceso de imágeneses_PE
dc.subject.classificationPendientees_PE
dc.titleDataset of manually classified images obtained from a construction siteen_EN
dc.typeinfo:eu-repo/semantics/article
dc.type.otherArtículo en Scopus
dc.identifier.journalData in Brief
dc.publisher.countryNL
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.01.03
dc.identifier.doihttps://doi.org/10.1016/j.dib.2022.108042
dc.contributor.studentUrday Ibarra, Gianella Tania (Ingeniería de Sistemas)
ulima.catOI
ulima.autor.afiliacionDel Savio, Alexandre Almeida (Faculty of Engineering and Architecture, Universidad de Lima)
ulima.autor.afiliacionLuna Torres, Ana Felícita (Faculty of Engineering and Architecture, Universidad de Lima)
ulima.autor.afiliacionCárdenas Salas, Daniel Enrique (Faculty of Engineering and Architecture, Universidad de Lima)
ulima.autor.afiliacionVergara Olivera, Mónica Alejandra (Faculty of Engineering and Architecture, Universidad de Lima)
ulima.autor.carreraDel Savio, Alexandre Almeida (No figura en la lista del año 2021-2)
ulima.autor.carreraLuna Torres, Ana Felícita (Ingeniería Civil)
ulima.autor.carreraCárdenas Salas, Daniel Enrique (Ingeniería de Sistemas)
ulima.autor.carreraVergara Olivera, Mónica Alejandra (Ingeniería Civil)
dc.identifier.isni0000000121541816
dc.identifier.scopusid2-s2.0-85126605198


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