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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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933580 | PMC |
| http://dx.doi.org/10.1016/j.dib.2022.108042 | DOI Listing |
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