Original paper
Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning
Abstract
Image-based object detection provides a valuable basis for site information retrieval and construction progress monitoring. Machine learning approaches, such as neural networks, are able to provide reliable detection rates. However, labeling of training data is a tedious and time-consuming process, as it must be performed manually for a substantial number of images. The paper presents a novel method for automatically labeling construction images...
Paper Details
Title
Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning
Published Date
Oct 1, 2019
Journal
Volume
106
Pages
102879 - 102879
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Notes
History