| --- |
| license: cc-by-nc-sa-4.0 |
| tags: |
| - anomaly-detection |
| - industrial-inspection |
| - mvtec-ad |
| - mvtec-loco |
| - patchcore |
| - csad |
| --- |
| |
| # AnoDe model bundle |
|
|
| The models, thresholds and sample images served by the AnoDe web platform |
| (Space: [peanut2butter9/anode](https://huggingface.co/spaces/peanut2butter9/anode)). |
|
|
| | Products | Model | Files | Decision threshold | |
| |---|---|---|---| |
| | 15 MVTec AD categories | PatchCore (our implementation; WideResNet-50, 10% coreset) | `models/patchcore/<category>.pt` (fp16 memory bank) | mean + 3 std of scores on 10% held-out normal training images | |
| | 5 MVTec LOCO AD categories | CSAD, released checkpoints (Hsieh & Lai, BMVC 2024) | `models/csad/<category>.pth` | mean + 3 std of scores on the official validation split | |
|
|
| `manifest.json` lists every product with its model file, threshold, the |
| validation scores behind it, and its sample images (`samples/`, 512 px PNG, |
| with ground-truth masks for anomalous images). |
|
|
| The benchmark behind these choices and the reasons GLASS is not deployed |
| (its released checkpoints leave no normal images to calibrate a threshold) |
| are documented in the project repository. |
|
|
| ## Licenses |
|
|
| - Sample images, and models trained on them: MVTec AD (Bergmann et al., IJCV |
| 2021) and MVTec LOCO AD (Bergmann et al., IJCV 2022), (c) MVTec Software |
| GmbH, [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
| Non-commercial use only. |
| - CSAD checkpoints: from https://github.com/Tokichan/CSAD, Apache License 2.0 |
| (`models/csad/LICENSE`). |
|
|
