---
license: cc-by-nc-sa-4.0
tags:
  - anomaly-detection
  - image-segmentation
  - industrial-inspection
  - mvtec-ad-2
---

# Industrial defect inspection: demo assets

Release bundles (weights, thresholds, reference statistics, metrics) and gallery images for the
interactive demo of https://github.com/yassineerraji/Industrial-Visual-Defect-Detection-Anomaly-Segmentation.

| Bundle | Model | Supervision |
|---|---|---|
| `releases/patchcore` | patchcore | normal images only |
| `releases/autoencoder` | autoencoder | normal images only |
| `releases/unet` | unet | pixel masks (grouped 5-fold CV + final all-data model) |

Every metric in these bundles comes from tracked experiments; see the GitHub README for the
protocol and results. Anomaly scores are unnormalised and are not probabilities.

**Licence.** Trained on MVTec AD 2 (MVTec Software GmbH), licensed CC BY-NC-SA 4.0. Model weights are distributed under the same terms, for non-commercial use. The gallery images are taken from the MVTec AD 2 public test set.
Dataset: Heckler-Kram et al., *The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised
Anomaly Detection*, arXiv:2503.21622, 2025.