Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning

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...