{"url":"/dataset/risedb","name":"RISEdb","full_name":"Robust Indoor Localization in Complex Scenarios (RISE) database","description_markdown":"The RISE (Robust Indoor Localization in Complex Scenarios) dataset is meant to train and evaluate visual indoor place recognizers.\r\nIt contains more than 1 million geo-referenced images spread over 30 sequences, covering 5 heterogeneous buildings.\r\nFor each building we provide:\r\n\t- 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.\r\n\t- 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.\r\n\t- Geo-referenced smartphone data, retrieved from the standard sensors of such devices.","description_withheld":null,"homepage":"https://data.jrc.ec.europa.eu/dataset/b4afbf64-17ab-4872-aaff-d5fc74ac953a","introduced_date":"2021-01-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/risedb-a-novel-indoor-localization-dataset","title":"RISEdb: a Novel Indoor Localization Dataset","first_author":"Carlos Sanchez-Belenguer","url":null},"license":{"name":"Public","url":"https://data.jrc.ec.europa.eu/licence/com_reuse"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Indoor Localization","url":"/task/indoor-localization","datasets_with_task":"/datasets/task/indoor-localization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RISEdb"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}