| 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 |