Jack Rabbot Dataset and Benchmark (JRDB)

JRDB is the largest benchmark data for 2D-3D person tracking, including:
  • Over 60K frames (64 minutes) sensor data captured from 5 stereo cylindrical 360° RGB cameras and two LiDAR sensors
  • 54 sequences from different indoor and outdoor locations in the Stanford university campus
  • Over 2.3 milion high quality 2D bounding box annotations on 360° cylindrical video streams generated from 5 stereo cameras
  • Over 1.8 milion high quality 3D oriented bounding box annotations on continuous 3D point clouds from two Velodyne 16 LiDARs
  • More than 3500 time consistent trajectories (tracks) in 2D and 3D
  • Download train and test splits.


    The datasets provided on this page are published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. If you are interested in commercial usage you can contact us for further options.