Dataset of manually classified images obtained from a construction site

Alexandre Almeida Del Savio; FELICITA LUNA TORRES ANA; Daniel Cardenas; Mónica Vergara; Gianella Urday Ibarra

doi:10.1016/j.dib.2022.108042

Dataset of manually classified images obtained from a construction site

Research output: Contribution to journal › Article (Contribution to Journal) › peer-review

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Abstract

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.

Original language	English
Article number	108042
Journal	Data in Brief
Volume	42
DOIs	https://doi.org/10.1016/j.dib.2022.108042 https://doi.org/10.1016/j.dib.2022.108042
State	Published - Jun 2022

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10.1016/j.dib.2022.108042License: CC BY
10.1016/j.dib.2022.108042

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title = "Dataset of manually classified images obtained from a construction site",

abstract = "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.",

author = "Savio, \{Alexandre Almeida Del\} and ANA, \{FELICITA LUNA TORRES\} and Daniel Cardenas and M{\'o}nica Vergara and Ibarra, \{Gianella Urday\}",

note = "Funding Information: The authors wish to thank Universidad de Lima for the use of equipment and image acquisition. This work was supported and funded by the Institute of Scientific Research of the University of Lima (IDIC) with Project Number PI.71.002.2020. Publisher Copyright: {\textcopyright} 2022",

year = "2022",

month = jun,

doi = "10.1016/j.dib.2022.108042",

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T1 - Dataset of manually classified images obtained from a construction site

AU - Savio, Alexandre Almeida Del

AU - ANA, FELICITA LUNA TORRES

AU - Cardenas, Daniel

AU - Vergara, Mónica

AU - Ibarra, Gianella Urday

N1 - Funding Information: The authors wish to thank Universidad de Lima for the use of equipment and image acquisition. This work was supported and funded by the Institute of Scientific Research of the University of Lima (IDIC) with Project Number PI.71.002.2020. Publisher Copyright: © 2022

PY - 2022/6

Y1 - 2022/6

N2 - 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.

AB - 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.

UR - https://hdl.handle.net/20.500.12724/17770

UR - https://doi.org/10.1016/j.dib.2022.108042

UR - https://www.scopus.com/pages/publications/85126605198

UR - https://www.mendeley.com/catalogue/8c2c169d-72f4-3b4a-9479-12bee69b7ce0/

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DO - 10.1016/j.dib.2022.108042

M3 - Artículo (Contribución a Revista)

SN - 2352-3409

VL - 42

JO - Data in Brief

JF - Data in Brief

M1 - 108042

ER -

Dataset of manually classified images obtained from a construction site

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Artificial intelligence applied to the monitoring, control and monitoring of works

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Dataset of manually classified images obtained from a construction site

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Artificial intelligence applied to the monitoring, control and monitoring of works

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