README.md

---
license: mit
task_categories:
- image-classification
- zero-shot-image-classification
tags:
- anomaly-detection
- mvtec-ad
- cable
- quality-control
- computer-vision
size_categories:
- n<1K
---

# MVTec AD - Cable Dataset

This is the Cable subset from the [MVTec Anomaly Detection](https://www.mvtec.com/company/research/datasets/mvtec-ad) 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

```bibtex
@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).