Ad-datasets: a meta-collection of data sets for autonomous driving

• URL: http://arxiv.org/abs/2202.01909v1
• Date: Thu, 3 Feb 2022 23:45:48 GMT
• Title: Ad-datasets: a meta-collection of data sets for autonomous driving
• Authors: Daniel Bogdoll, Felix Schreyer, J. Marius Z\"ollner
• Abstract summary: ad-datasets is an online tool that provides an overview of more than 150 data sets. It enables users to sort and filter the data sets according to 16 different categories.
• Score: 5.317624228510748
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Autonomous driving is among the largest domains in which deep learning has been fundamental for progress within the last years. The rise of datasets went hand in hand with this development. All the more striking is the fact that researchers do not have a tool available that provides a quick, comprehensive and up-to-date overview of data sets and their features in the domain of autonomous driving. In this paper, we present ad-datasets, an online tool that provides such an overview for more than 150 data sets. The tool enables users to sort and filter the data sets according to currently 16 different categories. ad-datasets is an open-source project with community contributions. It is in constant development, ensuring that the content stays up-to-date.

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