SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks

SDNET2018 is an annotated image dataset for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains over 56,000 images of cracked and non-cracked concrete bridge decks, walls, and pavements. The dataset includes cracks as na...

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Detalles Bibliográficos
Autores principales: Dorafshan, Sattar, Thomas, Robert J., Maguire, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Earth and Planetary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247444/
https://www.ncbi.nlm.nih.gov/pubmed/30505897
http://dx.doi.org/10.1016/j.dib.2018.11.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247444/
https://www.ncbi.nlm.nih.gov/pubmed/30505897
http://dx.doi.org/10.1016/j.dib.2018.11.015

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