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README.md
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---
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license: mit
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task_categories:
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- image-classification
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- zero-shot-image-classification
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tags:
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- anomaly-detection
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- mvtec-ad
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- cable
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- quality-control
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- computer-vision
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size_categories:
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- n<1K
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---
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# MVTec AD - Cable Dataset
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This is the Cable subset from the [MVTec Anomaly Detection](https://www.mvtec.com/company/research/datasets/mvtec-ad) dataset.
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## Dataset Structure
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```
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cable/
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├── train/
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│ └── good/ # 224 normal training images
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└── test/
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├── good/ # 58 normal test images
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├── bent_wire/ # 14 images
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├── cable_swap/ # 14 images
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├── combined/ # 13 images
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├── cut_inner_insulation/ # 16 images
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├── cut_outer_insulation/ # 12 images
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├── missing_cable/ # 14 images
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├── missing_wire/ # 11 images
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└── poke_insulation/ # 12 images
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```
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## Defect Types
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- **bent_wire**: Cables with bent wires
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- **cable_swap**: Wrong cable used
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- **combined**: Multiple defects
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- **cut_inner_insulation**: Inner insulation damage
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- **cut_outer_insulation**: Outer insulation damage
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- **missing_cable**: Missing cable
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- **missing_wire**: Missing wire
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- **poke_insulation**: Punctured insulation
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## Usage
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For EfficientAD anomaly detection training and evaluation.
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## Citation
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```bibtex
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@inproceedings{bergmann2019mvtec,
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title={MVTec AD--A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection},
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author={Bergmann, Paul and Fauser, Michael and Sattlegger, David and Steger, Carsten},
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booktitle={CVPR},
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year={2019}
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}
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```
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## License
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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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