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KITTI 2015: Stereo, Flow, and Scene Flow Benchmark


KITTI is one of the most popular datasets for evaluation of vision algorithms, particuarly in the context of street scenes and autonomous driving. The stereo 2015 / flow 2015 / scene flow 2015 benchmark consists of 200 training scenes and 200 test scenes (4 color images per scene, saved in loss less png format). Compared to the stereo 2012 and flow 2012 benchmarks, it comprises dynamic scenes for which the ground truth has been established in a semi-automatic process.

Author(s): Mortiz Menze and Andreas Geiger
Department(s): Autonomous Vision
Perceiving Systems
Publication(s): Object Scene Flow for Autonomous Vehicles
Joint 3D Estimation of Vehicles and Scene Flow
Authors: Mortiz Menze and Andreas Geiger
Release Date: 2015-06-01
External Link: http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=flow