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README.md
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# Dataset Card for BBBicycles
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## Dataset Summary
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Bent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of **damaged object re-identification**, which aims to identify the same object in multiple images even in the presence of breaks, deformations, and missing parts.
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## Dataset Structure
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The final dataset contains:
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</table>
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# Dataset Card for BBBicycles
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## Dataset Summary
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Bent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of **damaged object re-identification**, which aims to identify the same object in multiple images even in the presence of breaks, deformations, and missing parts. You can find an interactive preview [here](https://huggingface.co/spaces/GrainsPolito/BBBicyclesPreview).
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## Dataset Structure
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The final dataset contains:
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</table>
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### Citation Information
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```
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@inproceedings{bbb_2022,
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title={Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification},
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author={Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti},
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booktitle={2022 IEEE Winter Conference on Applications of Computer Vision (WACV)},
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year={2022},
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organization={IEEE}
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}
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```
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### Credits
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The authors gratefully acknowledge the financial support of Reale Mutua Assicurazioni.
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