metadata
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: label
dtype: int64
splits:
- name: bottle.train
num_bytes: 111990328
num_examples: 209
- name: bottle.test
num_bytes: 44761329
num_examples: 83
- name: cable.train
num_bytes: 303554891
num_examples: 224
- name: cable.test
num_bytes: 201935812
num_examples: 150
- name: capsule.train
num_bytes: 252677877
num_examples: 219
- name: capsule.test
num_bytes: 152313896
num_examples: 132
- name: carpet.train
num_bytes: 522511743
num_examples: 280
- name: carpet.test
num_bytes: 218754349
num_examples: 117
- name: grid.train
num_bytes: 124499615
num_examples: 264
- name: grid.test
num_bytes: 37195564
num_examples: 78
- name: hazelnut.train
num_bytes: 480438178
num_examples: 391
- name: hazelnut.test
num_bytes: 137606945
num_examples: 110
- name: leather.train
num_bytes: 341721146
num_examples: 245
- name: leather.test
num_bytes: 184009117
num_examples: 124
- name: metal_nut.train
num_bytes: 109259481
num_examples: 220
- name: metal_nut.test
num_bytes: 56720756
num_examples: 115
- name: pill.train
num_bytes: 168320860
num_examples: 267
- name: pill.test
num_bytes: 106947348
num_examples: 167
- name: screw.train
num_bytes: 130849798
num_examples: 320
- name: screw.test
num_bytes: 65493960
num_examples: 160
- name: tile.train
num_bytes: 233697736
num_examples: 230
- name: tile.test
num_bytes: 118221637
num_examples: 117
- name: toothbrush.train
num_bytes: 64456176
num_examples: 60
- name: toothbrush.test
num_bytes: 45106038
num_examples: 42
- name: transistor.train
num_bytes: 274424429
num_examples: 213
- name: transistor.test
num_bytes: 129053590
num_examples: 100
- name: wood.train
num_bytes: 377844770
num_examples: 247
- name: wood.test
num_bytes: 120901068
num_examples: 79
- name: zipper.train
num_bytes: 98584275
num_examples: 240
- name: zipper.test
num_bytes: 61226686
num_examples: 151
download_size: 5269604829
dataset_size: 5275079398
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}
}