Datasets › RISEdb

RISEdb (Robust Indoor Localization in Complex Scenarios (RISE) database)

Introduced by Carlos Sanchez-Belenguer et al. in RISEdb: a Novel Indoor Localization Dataset10 Jan 2021 archive 2025-07-28

The RISE (Robust Indoor Localization in Complex Scenarios) dataset is meant to train and evaluate visual indoor place recognizers. It contains more than 1 million geo-referenced images spread over 30 sequences, covering 5 heterogeneous buildings. For each building we provide: - A high resolution 3D point cloud (1cm) that defines the localization reference frame and that was generated with a mobile laser scanner and an inertial system. - Several image sequences spread over time with accurate ground truth poses retrieved by the laser scanner. Each sequence contains both, stereo pairs and spherical images. - Geo-referenced smartphone data, retrieved from the standard sensors of such devices.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Public

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • RISEdb

1 variant name, as the archive lists them.

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