{
 "id": "aristrops/mvtec-concepts",
 "owner": "aristrops",
 "name": "mvtec-concepts",
 "downloads": 194,
 "likes": 0,
 "last_modified": "2026-10-09T15:29:41.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-nc-sa-4.0",
 "licence_files": [
  "license.txt"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification",
  "image-segmentation"
 ],
 "citation": "If you use this dataset in a scientific work, please cite:\n\n* Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,\n\"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection\",\nIEEE Conference on Computer Vision and Pattern Recognition, 2019\n\n* Arianna Stropeni, Valentina Zaccaria, Francesco Borsatti, Davide Dalle Pezze, Manuel Barusco, and Gian Antonio Susto,\n\"Explainable Visual Anomaly Detection via Concept Bottleneck Models.\" \narXiv preprint arXiv:2511.20088, 2025.",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "4fd87835c072832906fab1b8fcd5e32eae641075",
 "stated_evidence": "https://huggingface.co/datasets/aristrops/mvtec-concepts/blob/4fd87835c072832906fab1b8fcd5e32eae641075/README.md",
 "file_evidence": "https://huggingface.co/datasets/aristrops/mvtec-concepts/blob/4fd87835c072832906fab1b8fcd5e32eae641075/license.txt",
 "card_nc": false
}