Search Results for author:
Found 2 papers, 1 papers with code
Segmentation tool for images of cracks
Machine learning algorithms can be used for augmenting the capability of classical visual inspection of bridge structures, however, the implementation of such an algorithm requires a massive annotated training dataset, which is time-consuming to produce.
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
First, we present a novel and challenging dataset comprising of images of cracks in steel bridges.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
