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.

Keywords

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