{"url":"/dataset/irs","name":"IRS","full_name":"Indoor Robotics Stereo","description_markdown":"**IRS** is an open dataset for indoor robotics vision tasks, especially disparity and surface normal estimation. It contains totally 103,316 samples covering a wide range of indoor scenes, such as home, office, store and restaurant.\n\nSource: [https://github.com/HKBU-HPML/IRS](https://github.com/HKBU-HPML/IRS)\nImage Source: [https://github.com/HKBU-HPML/IRS](https://github.com/HKBU-HPML/IRS)","description_withheld":null,"homepage":"https://github.com/HKBU-HPML/IRS","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/irs-a-large-synthetic-indoor-robotics-stereo","title":"IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation","first_author":"Qiang Wang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Disparity Estimation","url":"/task/disparity-estimation","datasets_with_task":"/datasets/task/disparity-estimation"},{"name":"Stereo Matching","url":"/task/stereo-matching-1","datasets_with_task":"/datasets/task/stereo-matching-1"}],"languages":[],"variants":["IRS"],"data_loaders":[{"repo":"https://github.com/HKBU-HPML/IRS","url":"https://github.com/HKBU-HPML/IRS","frameworks":["pytorch"]}],"num_papers_in_archive":12,"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."}