Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
Tags:
anomaly-detection
continual-learning
test-time-adaptation
medical-imaging
industrial-inspection
License:
| Attribution | |
| ----------- | |
| If you use the dataset in scientific work, please cite: | |
| Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger, | |
| "A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection", | |
| IEEE Conference on Computer Vision and Pattern Recognition, 2019 | |
| License | |
| ------- | |
| Copyright 2019 MVTec Software GmbH | |
| This work is licensed under a Creative Commons | |
| Attribution-NonCommercial-ShareAlike 4.0 International License. | |
| You should have received a copy of the license along with this work. | |
| If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>. | |
| For using the data in a way that falls under the commercial use clause | |
| of the license, please contact us. | |
| Contact | |
| ------- | |
| If you have any questions or comments about the dataset, feel free to | |
| contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com, | |
| sattlegger@mvtec.com, steger@mvtec.com |