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Visual Place Recognition datasets

archive 2025-07-28

28 datasets carry the task tag "Visual Place Recognition" (the task itself: Visual Place Recognition), ordered by the archive's paper count. Page 1 of 1: 28 shown of 28. 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 Place Recognition datasets 1–28 of 28

KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
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
Mapillary Vistas Dataset is a diverse street-level imagery dataset with pixel‑accurate and instance‑specific human annotations for understanding street scenes around the world.
101 papers · 3 benchmarks
MSLS (Mapillary Street-level Sequences Dataset)
The largest and most diverse dataset for lifelong place recognition from image sequences in urban and suburban settings.
57 papers · 1 benchmark
The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year.
42 papers · 3 benchmarks
DDD17 (DAVIS Driving Dataset 2017)
DDD17 has over 12 h of a 346x260 pixel DAVIS sensor recording highway and city driving in daytime, evening, night, dry and wet weather conditions, along with vehicle speed, GPS position, driver steering, throttle, and brake captured from…
41 papers · 1 benchmark
GSV-Cities is a large-scale dataset for training deep neural network for the task of Visual Place Recognition.
16 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
12 papers · 1 benchmark
AmsterTime (AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift)
AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical archival image data from Amsterdam city.
9 papers · 3 benchmarks
The Retrieval-SFM dataset is used for instance image retrieval.
7 papers · 0 benchmarks
SF-XL test v1 (San Francisco eXtra Large test v1)
Test set version 1 for the San Francisco eXtra Large dataset
7 papers · 1 benchmark
SF-XL test v2 (San Francisco eXtra Large test v2)
Test set version 2 for the San Francisco eXtra Large dataset
6 papers · 1 benchmark
The KITTI360Pose dataset encompasses a total area of 15.51 square kilometers across nine urban regions, consisting of 43,381 point cloud- text pairs.
5 papers · 1 benchmark
ALTO (Aerial-view Large-scale Terrain-Oriented)
ALTO is a vision-focused dataset for the development and benchmarking of Visual Place Recognition and Localization methods for Unmanned Aerial Vehicles.
4 papers · 0 benchmarks
The nordland used in SALAD and BoQ (2760 queries, 27592 reference images, threshold: 1 frames).
4 papers · 1 benchmark
In order to collect thermal aerial data, we used FLIR's Boson thermal imager (8.7 mm focal length, 640p resolution, and 50° horizontal field of view)\footnote{\url{https://www.flir.es/products/boson/}}.
3 papers · 0 benchmarks
CV-Cities comprises $223,736$ ground panoramic images and an equal number of satellite images all accompanied by high-precision GPS coordinates.
3 papers · 1 benchmark
The San Francisco Landmark Dataset contains a database of 1.7 million images of buildings in San Francisco with ground truth labels, geotags, and calibration data, as well as a difficult query set of 803 cell phone images taken with a…
3 papers · 1 benchmark
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
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 1 benchmark
FAS100K is a large-scale visual localization dataset.
1 paper · 0 benchmarks
GTA-UAV dataset provides a large continuous area dataset (covering 81.3km2) for UAV visual geo-localization, expanding the previously aligned drone-satellite pairs to arbitrary drone-satellite pairs to better align with real-world…
1 paper · 0 benchmarks
HPointLoc is a dataset designed for exploring capabilities of visual place recognition in indoor environment and loop detection in simultaneous localization and mapping.
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
NYU-VPR is a dataset for Visual place recognition (VPR) that contains more than 200,000 images over a 2km×2km area near the New York University campus, taken within the whole year of 2016.
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.