In recent years, more and more companies and research institutions have made their autonomous driving datasets open to the public. However, the best d

15 Best Open-Source Autonomous Driving Datasets

submited by
Style Pass
2021-06-08 14:00:03

In recent years, more and more companies and research institutions have made their autonomous driving datasets open to the public. However, the best datasets are not always easy to find, and scouring the internet for them takes time.

To help, we at SiaSearch have put together a list of the top 15 open datasets for autonomous driving. The resources below collectively contain millions of data samples, many of which are already annotated. We hope this list provides you with a solid starting point for learning more about the field, or for starting your own autonomous driving project.

The Audi Autonomous Driving Dataset (A2D2) features over 41,000 labeled with 38 features. Around 2.3 TB in total, A2D2 is split by annotation type (i.e. semantic segmentation, 3D bounding box).

ApolloScape is an evolving research project that aims to foster innovation across all aspects of autonomous driving, from perception to navigation and control. Via their website, users can explore a variety of simulation tools and over 100K street view frames, 80k lidar point cloud and 1000km trajectories for urban traffic.

Leave a Comment