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 languageEnglish
Article number108042
JournalData in Brief
StatePublished - Jun 2022


  • Construction images
  • neural network training images
  • construction monitoring images
  • computer vision image classification
  • Construction objects


  • Article


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