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Visual Localization datasets
archive 2025-07-28
27 datasets carry the task tag "Visual Localization" (the task itself: Visual Localization), ordered by the archive's paper count. Page 1 of 1: 27 shown of 27. 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
Visual Localization datasets 1–27 of 27
NCLT (North Campus Long-Term Vision and LiDAR)
The NCLT dataset is a large scale, long-term autonomy dataset for robotics research collected on the University of Michigan’s North Campus.
124 papers · 0 benchmarks
Cambridge Landmarks, a large scale outdoor visual relocalisation dataset taken around Cambridge University.
109 papers · 0 benchmarks
Aachen Day-Night is a dataset designed for benchmarking 6DOF outdoor visual localization in changing conditions.
93 papers · 1 benchmark
Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground truth 3D structure annotations (b) and generate photo-realistic 2D images (c).
85 papers · 7 benchmarks
InLoc is a dataset with reference 6DoF poses for large-scale indoor localization.
67 papers · 1 benchmark
The Oxford Radar RobotCar Dataset is a radar extension to The Oxford RobotCar Dataset.
28 papers · 4 benchmarks
This data set provides Light Detection and Ranging (LiDAR) data and stereo image with various position sensors targeting a highly complex urban environment.
19 papers · 0 benchmarks
ZInd (Zillow Indoor Dataset)
The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished residential homes.
18 papers · 1 benchmark
A novel benchmark dataset that includes a manually annotated point cloud for over 260 million laser scanning points into 100'000 (approx.) assets from Dublin LiDAR point cloud [12] in 2015.
15 papers · 0 benchmarks
DeepLoc is a large-scale urban outdoor localization dataset.
8 papers · 0 benchmarks
Aachen Day-Night v1.1 dataset is an extended version of the original Aachen Day-Night dataset.
7 papers · 1 benchmark
The Indoor-6 dataset was created from multiple sessions captured in six indoor scenes over multiple days.
3 papers · 0 benchmarks
Long-term visual localization provides a benchmark datasets aimed at evaluating 6 DoF pose estimation accuracy over large appearance variations caused by changes in seasonal (summer, winter, spring, etc.) and illumination (dawn, day,…
3 papers · 0 benchmarks
The PhotoSynth (PS) dataset for patch matching consists of a total of 30 scenes with 25 scenes for training and 5 scenes for validation.
3 papers · 0 benchmarks
Aa new cross-season scaleless monocular depth prediction dataset from CMU Visual Localization dataset through structure from motion.
3 papers · 0 benchmarks
SpaGBOL (Spatial-Graph-Based Orientated Cross-View Geo-Localisation)
Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques.
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
The Virtual Gallery dataset is a synthetic dataset that targets multiple challenges such as varying lighting conditions and different occlusion levels for various tasks such as depth estimation, instance segmentation and visual…
2 papers · 0 benchmarks
To study the data-scarcity mitigation for learning-based visual localization methods via sim-to-real transfer, we curate and now present the CrossLoc benchmark datasets—a multimodal aerial sim-to-real data available for flights above…
1 paper · 0 benchmarks
Danish Airs and Grounds (DAG) is a large collection of street-level and aerial images targeting such cases.
1 paper · 0 benchmarks
DeepLocCross is a localization dataset that contains RGB-D stereo images captured at 1280 x 720 pixels at a rate of 20 Hz.
1 paper · 0 benchmarks
FAS100K is a large-scale visual localization dataset.
1 paper · 0 benchmarks
A new dataset containing over 550K pairs (covering 143 km^2 area) of RGB and aerial LIDAR depth images.
1 paper · 0 benchmarks
The NAVER LABS localization datasets are 5 new indoor datasets for visual localization in challenging real-world environments.
1 paper · 0 benchmarks
PEnG (Pose-Enhanced Geo-Localisation)
This dataset builds upon the SpaGBOL dataset - a graph-based dataset covering numerous cities across the globe for the purpose of structured city-scale Cross-View Geo-Localisation (CVGL).
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
This synthetic event dataset is used in Robust e-NeRF to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera.
1 paper · 0 benchmarks
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.