Datasets:
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README.md
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#### Who are the source data producers
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The Zenseact Open Dataset (ZOD) is the property of Zenseact AB (© 2022 Zenseact AB), and is collected by several developmental vehicles with an identical sensor layout
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Zenseact developmental cars.
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[More Information Needed]
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### Annotations [optional]
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For Frames we supply two types of anonymization, namely Deep Neural Anonymization Technology (DNAT) and blurring. We studied the effects that these two anonymization methods have on downstream computer vision tasks and found no significant difference between the two. For more details about the experiments, see our paper. After this study, we anonymized the Sequences and Drives using the blurring anonymization method only.
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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year={2023}
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Website: https://zod.zenseact.com/
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GitHub Repo: https://github.com/zenseact/zod
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## Glossary
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ZOD stands for Zenseact Open Dataset.
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[More Information Needed]
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#### Who are the source data producers
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The Zenseact Open Dataset (ZOD) is the property of Zenseact AB (© 2022 Zenseact AB), and is collected by several developmental vehicles with an identical sensor layout.
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### Annotations [optional]
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For Frames we supply two types of anonymization, namely Deep Neural Anonymization Technology (DNAT) and blurring. We studied the effects that these two anonymization methods have on downstream computer vision tasks and found no significant difference between the two. For more details about the experiments, see our paper. After this study, we anonymized the Sequences and Drives using the blurring anonymization method only.
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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year={2023}
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}
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## Glossary
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ZOD stands for Zenseact Open Dataset.
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