Concrete Crack Segmentation Dataset
Published: 3 April 2019| Version 1 | DOI: 10.17632/jwsn7tfbrp.1
Contributor:
Çağlar Fırat ÖzgenelDescription
The dataset includes 458 hi-res images together with their alpha maps (BW) indicating the crack presence. The ground truth for semantic segmentation has two classes to conduct binary pixelwise classification. The photos are captured in various buildings located in Middle East Technical University. You can access a larger dataset containing images with 227x227 px dimensions for classification which are produced from this dataset from http://dx.doi.org/10.17632/5y9wdsg2zt.1 .
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Institutions
Orta Dogu Teknik Universitesi
Categories
Image Segmentation, Building Diagnosis, Deep Learning