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Stereo Matching datasets
archive 2025-07-28
20 datasets carry the task tag "Stereo Matching" (the task itself: Stereo Matching), ordered by the archive's paper count. Page 1 of 1: 20 shown of 20. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Stereo Matching datasets 1–20 of 20
Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic…
133 papers · 0 benchmarks
ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes.
121 papers · 3 benchmarks
The Middlebury 2014 dataset contains a set of 23 high resolution stereo pairs for which known camera calibration parameters and ground truth disparity maps obtained with a structured light scanner are available.
59 papers · 2 benchmarks
Virtual KITTI 2 is an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark.
53 papers · 2 benchmarks
DrivingStereo contains over 180k images covering a diverse set of driving scenarios, which is hundreds of times larger than the KITTI Stereo dataset.
50 papers · 0 benchmarks
PST900 is a dataset of 894 synchronized and calibrated RGB and Thermal image pairs with per pixel human annotations across four distinct classes from the DARPA Subterranean Challenge.
35 papers · 1 benchmark
Dataset provided by the Image Matching Workshop https://www.cs.ubc.ca/research/image-matching-challenge/current/
14 papers · 1 benchmark
This dataset accompanies our paper on synthesizing the 3D Ken Burns effect from a single image.
13 papers · 0 benchmarks
IRS (Indoor Robotics Stereo)
IRS is an open dataset for indoor robotics vision tasks, especially disparity and surface normal estimation.
12 papers · 0 benchmarks
CATS (Color and Thermal Stereo Benchmark)
A dataset consisting of stereo thermal, stereo color, and cross-modality image pairs with high accuracy ground truth (< 2mm) generated from a LiDAR.
11 papers · 2 benchmarks
Middlebury 2005 is a stereo dataset of indoor scenes.
9 papers · 0 benchmarks
The Helvipad dataset is a real-world stereo dataset designed for omnidirectional depth estimation.
5 papers · 1 benchmark
The Middlebury 2006 is a stereo dataset of indoor scenes with multiple handcrafted layouts.
5 papers · 0 benchmarks
The Middlebury 2001 is a stereo dataset of indoor scenes with multiple handcrafted layouts.
4 papers · 0 benchmarks
UASOL (A large-scale high-resolution outdoor stereo dataset)
The UASOL an RGB-D stereo dataset, that contains 160902 frames, filmed at 33 different scenes, each with between 2 k and 10 k frames.
3 papers · 1 benchmark
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
A set of 221 stereo videos captured by the SOCRATES stereo camera trap in a wildlife park in Bonn, Germany between February and July of 2022.
2 papers · 0 benchmarks
GUISS dataset (Meshes, textures, Blend files, stereo datasets, depth maps, depth estimations))
We provide all the expected data inputs to GUISS such as meshes, texture images, and blend files.
1 paper · 0 benchmarks
IMCPT-SparseGM dataset is a new visual graph matching benchmark addressing partial matching and graphs with larger sizes, based on the novel stereo benchmark Image Matching Challenge PhotoTourism (IMC-PT) 2020.
1 paper · 1 benchmark
IMCPT-SparseGM dataset is a new visual graph matching benchmark addressing partial matching and graphs with larger sizes, based on the novel stereo benchmark Image Matching Challenge PhotoTourism (IMC-PT) 2020.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.