|
Download README.md from peanut2butter9/anode-models: direct link, hf CLI and curl.
- Browser
- Download file 1.53 kB
-
https://huggingface.co/peanut2butter9/anode-models/resolve/main/README.md
- Command line
-
hf download hf://peanut2butter9/anode-models/README.md
-
curl -L -o README.md https://huggingface.co/peanut2butter9/anode-models/resolve/main/README.md
1.53 kB
metadata
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).
| 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
- and MVTec LOCO AD (Bergmann et al., IJCV 2022), (c) MVTec Software GmbH, CC BY-NC-SA 4.0. Non-commercial use only.
- CSAD checkpoints: from https://github.com/Tokichan/CSAD, Apache License 2.0
(
models/csad/LICENSE).