6 datasets found

The dataset used for training and testing the proposed EDNet model for efficient disparity estimation.

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

Large dataset for stereo matching, optical flow, and scene flow estimation

The MVSEC dataset is a dataset for event-based camera data, featuring 5 sequences of a car on the street, as well as 4 short indoor sequences shot from a flying quadrotor.

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...

The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.