论文标题
广告数据集：用于自动驾驶的数据集的元收集
Ad-datasets: a meta-collection of data sets for autonomous driving
论文作者
论文摘要
自动驾驶是深度学习在过去几年中一直是基础的最大领域之一。数据集的兴起与这一开发息息相关。更令人惊讶的是，研究人员没有可用的工具，该工具可提供快速，全面和最新的数据集及其在自动驾驶领域中的功能。在本文中，我们提出了AD-DATASET，这是一种在线工具，可为150多个数据集提供这样的概述。该工具使用户可以根据当前16个不同类别进行对数据集进行分类和过滤。 AD-DATASET是一个具有社区贡献的开源项目。它正在不断开发中，确保内容保持最新状态。
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.
