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.
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Del 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. https://doi.org/10.1016/j.dib.2022.108042
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