{"url":"/dataset/university","name":"University","full_name":null,"description_markdown":"Univesity is an indoor localization dataset proposed in \"Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network\". \r\n\r\nIt contains camera images and ground-truth poses, split in 9694 training pairs and 5068 test pairs.\r\n\r\nIt was created to test localization of multiple scenes in one global coordinate frame, and has a bigger indoor environment compared to 7scenes.","description_withheld":null,"homepage":"","introduced_date":"2017-07-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/camera-relocalization-by-computing-pairwise","title":"Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network","first_author":"Zakaria Laskar","url":null},"license":null,"modalities":[],"tasks":[{"name":"Camera Relocalization","url":"/task/camera-relocalization","datasets_with_task":"/datasets/task/camera-relocalization"},{"name":"Indoor Localization","url":"/task/indoor-localization","datasets_with_task":"/datasets/task/indoor-localization"}],"languages":[],"variants":["University"],"data_loaders":[],"num_papers_in_archive":39,"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."}