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  license: cc-by-nc-nd-4.0
 
 
 
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- Small subset of the original MUAD dataset.
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- Full dataset: https://zenodo.org/records/10619959
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- Citation: @inproceedings{franchi2022muad,
 
 
 
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  title={Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks},
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  author={Franchi, Gianni and Yu, Xuanlong and Bursuc, Andrei and Tena, Angel and Kazmierczak, R{\'e}mi and Dubuisson, S{\'e}verine and Aldea, Emanuel and Filliat, David},
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  journal={BMVC},
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  year={2022}
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  }
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  license: cc-by-nc-nd-4.0
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+ pretty_name: Mini MUAD
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+ size_categories:
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+ - n<1K
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+ Small subset of the original MUAD dataset filtered by Firas Gabetni. We provide a PyTorch dataset in [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) on this [page](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/blob/main/torch_uncertainty/datasets/muad.py).
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+ The full dataset can be found on [Zenodo](https://zenodo.org/records/10619959). Find more information on the dataset on the [original GitHub repository](https://github.com/ENSTA-U2IS-AI/MUAD-Dataset).
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+ If you use this dataset for your research, please cite the original paper as follows:
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+
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+ ```
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+ @inproceedings{franchi2022muad,
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  title={Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks},
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  author={Franchi, Gianni and Yu, Xuanlong and Bursuc, Andrei and Tena, Angel and Kazmierczak, R{\'e}mi and Dubuisson, S{\'e}verine and Aldea, Emanuel and Filliat, David},
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  journal={BMVC},
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  year={2022}
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  }
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+ ```