{"url":"/dataset/laval-indoor-hdr-dataset","name":"Laval Indoor HDR Dataset","full_name":null,"description_markdown":"This dataset contains 2100+ high resolution indoor panoramas, captured using a Canon 5D Mark III and a robotic panoramic tripod head. Each capture was multi-exposed (22 f-stops) and is fully HDR, without any saturation. Panoramas were stitched from 6 captures (60 degrees azimuth increment) and were captured in a wide variety of indoor environments.","description_withheld":null,"homepage":"http://indoor.hdrdb.com","introduced_date":"2017-04-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-predict-indoor-illumination-from","title":"Learning to Predict Indoor Illumination from a Single Image","first_author":"Marc-André Gardner","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Laval Indoor HDR Dataset"],"data_loaders":[],"num_papers_in_archive":17,"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."}