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End of preview. Expand
in Data Studio
MVTec AD - Cable Dataset
This is the Cable subset from the MVTec Anomaly Detection dataset.
Dataset Structure
cable/
├── train/
│ └── good/ # 224 normal training images
└── test/
├── good/ # 58 normal test images
├── bent_wire/ # 14 images
├── cable_swap/ # 14 images
├── combined/ # 13 images
├── cut_inner_insulation/ # 16 images
├── cut_outer_insulation/ # 12 images
├── missing_cable/ # 14 images
├── missing_wire/ # 11 images
└── poke_insulation/ # 12 images
Defect Types
- bent_wire: Cables with bent wires
- cable_swap: Wrong cable used
- combined: Multiple defects
- cut_inner_insulation: Inner insulation damage
- cut_outer_insulation: Outer insulation damage
- missing_cable: Missing cable
- missing_wire: Missing wire
- poke_insulation: Punctured insulation
Usage
For EfficientAD anomaly detection training and evaluation.
Citation
@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={CVPR},
year={2019}
}
License
This dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
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