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Title:

The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Document type:
Zeitschriftenaufsatz
Author(s):
Bergmann, Paul; Batzner, Kilian; Fauser, Michael; Sattlegger, David; Steger, Carsten
Journal title:
International Journal of Computer Vision
Year:
2021
Journal volume:
129
Journal issue:
4
Pages contribution:
1038-1059
Fulltext / DOI:
doi:10.1007/s11263-020-01400-4
Publisher:
Springer Science and Business Media LLC
E-ISSN:
0920-56911573-1405
Date of publication:
06.01.2021
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