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Camera Relocalization datasets

archive 2025-07-28

7 datasets carry the task tag "Camera Relocalization" (the task itself: Camera Relocalization), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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

Camera Relocalization datasets 1–7 of 7

Cambridge Landmarks, a large scale outdoor visual relocalisation dataset taken around Cambridge University.
109 papers · 0 benchmarks
Univesity is an indoor localization dataset proposed in "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network".
39 papers · 0 benchmarks
DeepLoc is a large-scale urban outdoor localization dataset.
8 papers · 0 benchmarks
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
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
They make available a dataset of 655 places, collected by non-expert users world-wide.
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

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.