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Visual Odometry datasets

archive 2025-07-28

26 datasets carry the task tag "Visual Odometry" (the task itself: Visual Odometry), ordered by the archive's paper count. Page 1 of 1: 26 shown of 26. 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 Odometry datasets 1–26 of 26

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
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
A dataset for robot navigation task and more.
107 papers · 0 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
The Event-Camera Dataset is a collection of datasets with an event-based camera for high-speed robotics.
51 papers · 2 benchmarks
The New College Data is a freely available dataset collected from a robot completing several loops outdoors around the New College campus in Oxford.
17 papers · 0 benchmarks
4Seasons is adataset covering seasonal and challenging perceptual conditions for autonomous driving.
15 papers · 0 benchmarks
EuRoC MAV is a visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV).
13 papers · 1 benchmark
TUM monoVO is a dataset for evaluating the tracking accuracy of monocular Visual Odometry (VO) and SLAM methods.
11 papers · 0 benchmarks
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
EndoSLAM (Endoscopic SLAM dataset)
The endoscopic SLAM dataset (EndoSLAM) is a dataset for depth estimation approach for endoscopic videos.
4 papers · 0 benchmarks
A novel dataset with a diverse set of sequences in different scenes for evaluating VI odometry.
3 papers · 0 benchmarks
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 new underwater dataset that has been recorded in an harbor and provides several sequences with synchronized measurements from a monocular camera, a MEMS-IMU and a pressure sensor.
2 papers · 0 benchmarks
BASEPROD (The Bardenas Semi-Desert Planetary Rover Dataset)
BASEPROD provides comprehensive rover sensor data collected over a 1.7 km traverse, accompanied by high-resolution 2D and 3D drone maps of the terrain.
2 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
SLAM2REF (ConSLAM BIM and GT Poses)
This dataset comprehends the 3D building information model (in IFC and Revit formats), manually elaborated based on the terrestrial laser scanner of the sequence 2 of ConSLAM, and the refined ground truth (GT) poses (in TUM format) of…
2 papers · 0 benchmarks
AUT-VI (Amirkabir campus dataset)
AUT-VI is a super-challenging visual inertial dataset with 126 diverse sequences in 17 locations.
1 paper · 0 benchmarks
Brown Pedestrian Odometry Dataset (BPOD) is a dataset for benchmarking visual odometry algorithms in head-mounted pedestrian settings.
1 paper · 0 benchmarks
ConSLAM (Construction Dataset for SLAM)
ConSLAM is a real-world dataset collected periodically on a construction site to measure the accuracy of mobile scanners' SLAM algorithms.
1 paper · 0 benchmarks
ConsInv is a stereo RGB + IMU dataset designed for Dynamic SLAM testing and contains two subsets: - ConsInv-Indoors contains sequences in an office setting where small objects are moved.
1 paper · 0 benchmarks
This is the dataset for testing the robustness of various VO/VIO methods, acquired on reak UAV.
1 paper · 0 benchmarks
MinNav is a synthetic dataset based on the sandbox game Minecraft.
1 paper · 0 benchmarks
UMA-VI Dataset (The UMA-VI dataset: Visual--inertial odometry in low-textured and dynamic illumination environments)
The dataset contains 32 sequences for the evaluation of VI motion estimation methods, totalling ∼80 min of data.
1 paper · 0 benchmarks
Abstract: We introduce the multi-spectral stereo (MS2) outdoor dataset, including stereo RGB, stereo NIR, stereo thermal, stereo LiDAR data, and GPS/IMU information.
0 papers · 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.