Stereo Matching - Groups

ETH3D

ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

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Middlebury 2014

The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth.

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ETH3D Stereo Dataset

A benchmark for stereo matching, consisting of 50 stereo pairs with ground truth disparity maps.

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Middlebury Stereo Dataset v3

A benchmark for stereo matching, consisting of 11 stereo pairs with ground truth disparity maps.

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KITTI 2012 Stereo Vision Benchmark

A benchmark for stereo matching, consisting of 75 stereo pairs with ground truth disparity maps.

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FlyingThings3D dataset

The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps.

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KITTI 2012 and 2015 datasets

The KITTI 2012 and 2015 datasets are used for stereo matching experiments.

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SceneFlow

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

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MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity M...

Disparity prediction from stereo images is essential to computer vision applications including autonomous driving, 3D model reconstruction, and object detection.

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KITTI dataset

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...

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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...

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11 datasets found