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

TL;DR

This paper introduces ad-datasets, an online, open-source tool that offers a comprehensive, sortable, and filterable overview of over 150 autonomous driving datasets, aiding researchers in selecting appropriate data for their projects.

Contribution

The paper presents a novel, community-driven online platform that consolidates and updates autonomous driving datasets, facilitating easier access and comparison for researchers.

Findings

Over 150 datasets included in the platform

16 categories for sorting and filtering datasets

Continuous updates through community contributions

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.