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Waymo expands autonomous driving data set

Posted: 20 March 2020 |

Waymo’s Open Dataset Challenges will run until 31 May 2020, while the leaderboard will remain open for future submissions.

Waymo expands autonomous driving data set

Last August, Waymo invited the research community to join it in accelerating autonomous technology with the release of one of the largest multi-sensor self-driving datasets available.

The dataset includes information about size and coverage, diverse driving environments, high-resolution, 360° views, dense labelling and camera-lidar synchronisation.

Waymo has now launched the next phase of its programme: expanding the Waymo Open Dataset by an additional 800 segments and is inviting researchers to participate in Waymo’s Open Dataset Challenges.

All submissions will be evaluated through an automated process and participants will receive their score in a matter of minutes. At the close of the challenges, the top three entries on each leaderboard will win awards, but the leaderboards will remain active for future submissions.

The five Waymo Open Dataset Challenges:

  • 2D Detection: Given a set of camera images, produce a set of 2D boxes for the objects in the scene
  • 2D Tracking: Given a temporal sequence of camera images, produce a set of 2D boxes and the correspondences between boxes across frames
  • 3D Detection: Given one or more lidar range images and the associated camera images, produce a set of 3D upright boxes for the objects in the scene
  • 3D Tracking: Given a temporal sequence of lidar and camera data, produce a set of 3D upright boxes and the correspondences between boxes across frames
  • Domain Adaptation: Similar to the 3D Detection challenge, but we provide additional segments from rainy Kirkland, Washington, 100 of which have 3D box labels.

Waymo is offering awards to the top submissions in each of the five challenges as follows:

  • 1st place: $15,000
  • 2nd place: $5,000 
  • 3rd place: $2,000.
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