---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: label
    dtype: int64
  splits:
  - name: bottle.train
    num_bytes: 111990328.0
    num_examples: 209
  - name: bottle.test
    num_bytes: 44761329.0
    num_examples: 83
  - name: cable.train
    num_bytes: 303554891.0
    num_examples: 224
  - name: cable.test
    num_bytes: 201935812.0
    num_examples: 150
  - name: capsule.train
    num_bytes: 252677877.0
    num_examples: 219
  - name: capsule.test
    num_bytes: 152313896.0
    num_examples: 132
  - name: carpet.train
    num_bytes: 522511743.0
    num_examples: 280
  - name: carpet.test
    num_bytes: 218754349.0
    num_examples: 117
  - name: grid.train
    num_bytes: 124499615.0
    num_examples: 264
  - name: grid.test
    num_bytes: 37195564.0
    num_examples: 78
  - name: hazelnut.train
    num_bytes: 480438178.0
    num_examples: 391
  - name: hazelnut.test
    num_bytes: 137606945.0
    num_examples: 110
  - name: leather.train
    num_bytes: 341721146.0
    num_examples: 245
  - name: leather.test
    num_bytes: 184009117.0
    num_examples: 124
  - name: metal_nut.train
    num_bytes: 109259481.0
    num_examples: 220
  - name: metal_nut.test
    num_bytes: 56720756.0
    num_examples: 115
  - name: pill.train
    num_bytes: 168320860.0
    num_examples: 267
  - name: pill.test
    num_bytes: 106947348.0
    num_examples: 167
  - name: screw.train
    num_bytes: 130849798.0
    num_examples: 320
  - name: screw.test
    num_bytes: 65493960.0
    num_examples: 160
  - name: tile.train
    num_bytes: 233697736.0
    num_examples: 230
  - name: tile.test
    num_bytes: 118221637.0
    num_examples: 117
  - name: toothbrush.train
    num_bytes: 64456176.0
    num_examples: 60
  - name: toothbrush.test
    num_bytes: 45106038.0
    num_examples: 42
  - name: transistor.train
    num_bytes: 274424429.0
    num_examples: 213
  - name: transistor.test
    num_bytes: 129053590.0
    num_examples: 100
  - name: wood.train
    num_bytes: 377844770.0
    num_examples: 247
  - name: wood.test
    num_bytes: 120901068.0
    num_examples: 79
  - name: zipper.train
    num_bytes: 98584275.0
    num_examples: 240
  - name: zipper.test
    num_bytes: 61226686.0
    num_examples: 151
  download_size: 5269604829
  dataset_size: 5275079398.0
configs:
- config_name: default
  data_files:
  - split: bottle.train
    path: data/bottle.train-*
  - split: bottle.test
    path: data/bottle.test-*
  - split: cable.train
    path: data/cable.train-*
  - split: cable.test
    path: data/cable.test-*
  - split: capsule.train
    path: data/capsule.train-*
  - split: capsule.test
    path: data/capsule.test-*
  - split: carpet.train
    path: data/carpet.train-*
  - split: carpet.test
    path: data/carpet.test-*
  - split: grid.train
    path: data/grid.train-*
  - split: grid.test
    path: data/grid.test-*
  - split: hazelnut.train
    path: data/hazelnut.train-*
  - split: hazelnut.test
    path: data/hazelnut.test-*
  - split: leather.train
    path: data/leather.train-*
  - split: leather.test
    path: data/leather.test-*
  - split: metal_nut.train
    path: data/metal_nut.train-*
  - split: metal_nut.test
    path: data/metal_nut.test-*
  - split: pill.train
    path: data/pill.train-*
  - split: pill.test
    path: data/pill.test-*
  - split: screw.train
    path: data/screw.train-*
  - split: screw.test
    path: data/screw.test-*
  - split: tile.train
    path: data/tile.train-*
  - split: tile.test
    path: data/tile.test-*
  - split: toothbrush.train
    path: data/toothbrush.train-*
  - split: toothbrush.test
    path: data/toothbrush.test-*
  - split: transistor.train
    path: data/transistor.train-*
  - split: transistor.test
    path: data/transistor.test-*
  - split: wood.train
    path: data/wood.train-*
  - split: wood.test
    path: data/wood.test-*
  - split: zipper.train
    path: data/zipper.train-*
  - split: zipper.test
    path: data/zipper.test-*
---

Original dataset:
```
@inproceedings{bergmann2019mvtec,
  title={MVTec AD--A comprehensive real-world dataset for unsupervised anomaly detection},
  author={Bergmann, Paul and Fauser, Michael and Sattlegger, David and Steger, Carsten},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9592--9600},
  year={2019}
}
```