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Merge branch 'main' of https://huggingface.co/datasets/GrainsPolito/BBBicycles into main

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  ---
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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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  ---
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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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+
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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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+ ```
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+
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+ ### Credits
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+ The authors gratefully acknowledge the financial support of Reale Mutua Assicurazioni.