The original self-driving benchmark — stereo, LiDAR, and 200K object labels from Karlsruhe.
Browse commercial Autonomous Vehicles → Visit original source ↗KITTI from Karlsruhe Institute of Technology and Toyota Technological Institute is the original autonomous driving benchmark. Stereo camera, rotating LiDAR (Velodyne HDL-64E), and GPS/IMU data from driving in Karlsruhe, Germany. Object detection, tracking, odometry, and depth benchmarks. Still cited in most AV papers for legacy comparison.
LQS is our 7-dimension quality score, computed from the dataset's published statistics. See methodology →
Composite score computed from the 7 dimensions below: completeness, uniqueness, validation health, size adequacy, format compliance, label density, and class balance.
Common tasks and benchmarks where KITTI Vision Benchmark is the default or competitive choice.
What's actually in the dataset — from the maintainer's published stats.
KITTI Vision Benchmark is distributed under CC BY-NC-SA 3.0. This is a third-party public dataset; LabelSets indexes and scores it but does not host or redistribute the data. Always verify current license terms with the maintainer before commercial use.
LabelSets sellers offer paid autonomous vehicles datasets with what public datasets often can't give you:
Other entries in the Autonomous Vehicles catalog.