Waymo Open Dataset: Sharing our self-driving data for research
Back to all posts Data is a critical ingredient for machine learning. Our vehicles have collected over 10 million autonomous miles in 25 cities; this rich and diverse set of real world experiences has helped our engineers and researchers develop Waymo’s self-driving technology and innovative models and algorithms. Today, we are inviting the research community to join us with the release of the Way
BDD100K: A Large-scale Diverse Driving Video Database
Update 06/18/2018: please also check our follow-up blog post after reading this. TL;DR, we released the largest and most diverse driving video dataset with rich annotations called BDD100K. You can access the data for research now at http://bdd-data.berkeley.edu. We have recently released an arXiv report on it. And there is still time to participate in our CVPR 2018 challenges! Large-scale, Diverse
Apollo Scape
ApolloScape Advanced Open Tools and Datasets for Autonomous Driving ApolloScape , part of the Apollo project for autonomous driving, is a research-oriented project to foster innovations in all aspects of autonomous driving, from perception, navigation, to control. It hosts open access to semantically annotated (pixel-level) street view images and simulation tools that supports user-defined polices
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