| --- |
| license: cc-by-nc-nd-4.0 |
| pretty_name: Mini MUAD |
| size_categories: |
| - n<1K |
| --- |
| |
| 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). |
|
|
| 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). |
|
|
| If you use this dataset for your research, please cite the original paper as follows: |
|
|
| ``` |
| @inproceedings{franchi2022muad, |
| title={Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks}, |
| 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}, |
| journal={BMVC}, |
| year={2022} |
| } |
| ``` |
