DefectAtlas-20: A real-world image dataset for joint material and surface-condition classification.
- DOI
- 10.1016/j.dib.2026.113215
- Published
- 2026 Aug
- Container
- Data in brief
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.113215,
title = {DefectAtlas-20: A real-world image dataset for joint material and surface-condition classification.},
author = {Buettner R and Fischer-Brandies L and Pasold L and Eisentraut L},
year = {2026},
journal = {Data in brief},
doi = {10.1016/j.dib.2026.113215},
url = {https://doi.org/10.1016/j.dib.2026.113215}
}RIS
TY - JOUR TI - DefectAtlas-20: A real-world image dataset for joint material and surface-condition classification. AU - Buettner R AU - Fischer-Brandies L AU - Pasold L AU - Eisentraut L PY - 2026 JO - Data in brief DO - 10.1016/j.dib.2026.113215 UR - https://doi.org/10.1016/j.dib.2026.113215 ER -
APA
R, B., L, F., L, P., & L, E. (2026). DefectAtlas-20: A real-world image dataset for joint material and surface-condition classification.. Data in brief. https://doi.org/10.1016/j.dib.2026.113215
Source records
- pubmed · retrieved 2026-09-25T12:23:41.054Z