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license: cc-by-nc-4.0 |
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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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- Total of 39,200 image |
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- 2,800 unique IDs |
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- 20 models |
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- 140 IDs for each model |
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<table border-collapse="collapse"> |
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<tr> |
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<td><b style="font-size:25px">Information for each ID:</b></td> |
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<td><b style="font-size:25px">Information for each render:</b></td> |
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</tr> |
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<tr> |
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<td> |
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<ul> |
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<li>Model</li> |
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<li>Type</li> |
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<li>Texture type</li> |
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<li>Stickers</li> |
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</ul> |
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</td> |
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<td> |
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<ul> |
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<li>Background</li> |
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<li>Viewing Side</li> |
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<li>Focal Length</li> |
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<li>Presence of dirt</li> |
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</ul> |
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</td> |
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</tr> |
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</table> |
