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KITTI 2012 dataset
The dataset used for training and testing the proposed EDNet model for efficient disparity estimation. -
Middlebury 2014
The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth. -
FlyingThings3D dataset
The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps. -
KITTI 2015 dataset
KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner. -
Scene Flow
Stereo matching aims to recover the dense reconstruction of unknown scenes by computing the disparity from rectified stereo images, helping robots intelligently interact with...