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| # Dataset Card for BBBicycles | |
| ## Dataset Summary | |
| 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 the dataset [here](https://huggingface.co/datasets/GrainsPolito/BBBicycles). | |
| ## Dataset Structure | |
| The final dataset contains: | |
| - Total of 39,200 image | |
| - 2,800 unique IDs | |
| - 20 models | |
| - 140 IDs for each model | |
| <table border-collapse="collapse"> | |
| <tr> | |
| <td><b style="font-size:25px">Information for each ID:</b></td> | |
| <td><b style="font-size:25px">Information for each render:</b></td> | |
| </tr> | |
| <tr> | |
| <td> | |
| <ul> | |
| <li>Model</li> | |
| <li>Type</li> | |
| <li>Texture type</li> | |
| <li>Stickers</li> | |
| </ul> | |
| </td> | |
| <td> | |
| <ul> | |
| <li>Background</li> | |
| <li>Viewing Side</li> | |
| <li>Focal Length</li> | |
| <li>Presence of dirt</li> | |
| </ul> | |
| </td> | |
| </tr> | |
| </table> | |