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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> | |