The Zenseact Open Dataset (ZOD) is a large multi-modal autonomous driving dataset developed by a team of researchers at Zenseact. The dataset is split into three categories: Frames, Sequences, and Drives. For more information about the dataset, please refer to our paper, or visit our website.
If you publish work that uses Zenseact Open Dataset, please cite: Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
@misc{alibeigi2023zenseact,
title={Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving},
author={Mina Alibeigi and William Ljungbergh and Adam Tonderski and Georg Hess and Adam Lilja and Carl Lindstrom and Daria Motorniuk and Junsheng Fu and Jenny Widahl and Christoffer Petersson},
year={2023},
eprint={2305.02008},
archivePrefix={arXiv},
primaryClass={cs.CV}
}For questions about the dataset, please feel free to contact us at [email protected].
The dataset is the property of Zenseact AB (© 2023 Zenseact AB) and is licensed under CC BY-SA 4.0. Any public use, distribution, or display of this dataset must contain this notice in full:
For this dataset, Zenseact AB has taken all reasonable measures to remove all personally identifiable information, including faces and license plates. To the extent that you like to request the removal of specific images from the dataset, please contact [email protected].
The purpose of Zenseact is to save lives in road traffic. We encourage use of this dataset with the intention of avoiding losses in road traffic. ZOD is not intended for military use.
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