Ad-datasets: a meta-collection of data sets for autonomous driving
This tool solves the problem for researchers in autonomous driving by providing quick access to dataset information, though it is incremental as it builds on existing datasets without new data creation.
The paper addresses the lack of a comprehensive tool for overviewing autonomous driving datasets by presenting ad-datasets, an online open-source tool that covers over 150 datasets with filtering across 16 categories and ensures up-to-date content.
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.