The dataset is currently empty. Upload or create new data files. Then, you will be able to explore them in the Dataset Viewer.
BTAD (beanTech Anomaly Detection) — pointer card, not a data mirror
Metadata/citation card only. The source zip (avires.dimi.uniud.it/papers/btad/btad.zip) is too large to inspect for license terms without downloading, and no explicit license text was found associated with it — not re-hosted until confirmed.
Access
- Download: http://avires.dimi.uniud.it/papers/btad/btad.zip
- Associated paper page (Univ. of Udine): http://avires.dimi.uniud.it/papers/btad/
Contents
2,830 RGB images, 3 products, pixel-level anomaly masks (body/surface defects).
Citation
Mishra, P., Verk, R., Fornasier, D., Piciarelli, C., Foresti, G.L. "VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization." ISIE 2021.
Action needed: download and inspect the zip directly (or contact the authors) to confirm license before mirroring.
- Downloads last month
- -