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Semantic SLAM datasets
archive 2025-07-28
10 datasets carry the task tag "Semantic SLAM" (the task itself: Semantic SLAM), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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
Semantic SLAM datasets 1–10 of 10
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations.
246 papers · 7 benchmarks
TUM RGB-D is an RGB-D dataset.
235 papers · 1 benchmark
ViViD++ (Vision for Visibility Dataset)
A dataset capturing diverse visual data formats that target varying luminance conditions, and was recorded from alternative vision sensors, by handheld or mounted on a car, repeatedly in the same space but in different conditions.
17 papers · 0 benchmarks
WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution 2D images and dense 3D LiDAR point clouds, and accurate 6-DoF…
12 papers · 2 benchmarks
Bonn RGB-D Dynamic is a dataset for RGB-D SLAM, containing highly dynamic sequences.
9 papers · 1 benchmark
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
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
TorWIC (The Toronto Warehouse Incremental Change Dataset)
TorWIC is the dataset discussed in POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
2 papers · 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
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.