Published July 15, 2021
| Version v1
Dataset
Open
Dataset for Crack Detection in Images of Masonry Using CNNs
Authors/Creators
- 1. Pennsylvania State University
Description
We trained a convolutional neural network (CNN) on images of brick walls built in a laboratory environment and test its ability to detect cracks in images of brick-and-mortar structures both in the laboratory and on real-world images taken from the internet. We also compared the performance of the CNN to a variety of simple classifiers operating on handcrafted features. This is the dataset used in that work.
Files
masonry-images-sensors-2021.zip
Files
(303.7 kB)
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