Concrete Crack Segmentation Dataset

Published: 3 Apr 2019 | Version 1 | DOI: 10.17632/jwsn7tfbrp.1
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Description of this data

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 .

Experiment data files

Related links

Latest version

  • Version 1

    2019-04-03

    Published: 2019-04-03

    DOI: 10.17632/jwsn7tfbrp.1

    Cite this dataset

    Özgenel, Çağlar Fırat (2019), “Concrete Crack Segmentation Dataset”, Mendeley Data, v1 http://dx.doi.org/10.17632/jwsn7tfbrp.1

Statistics

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Downloads: 77

Institutions

Orta Dogu Teknik Universitesi

Categories

Image Segmentation, Building Diagnosis, Deep Learning

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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