{"url":"/dataset/live-itw","name":"LIVE-itw","full_name":"LIVE In the Wild Image Quality Challenge Database","description_markdown":"Image quality assessment (IQA) databases enable researchers to evaluate the performance of IQA algorithms and contribute towards attaining the ultimate goal of objective quality assessment research - matching human perception. Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, which are not necessarily well-modeled by the synthetic distortions found in existing databases. Our newly designed and created LIVE In the Wild Image Quality Challenge Database, contains widely diverse authentic image distortions on a large number of images captured using a representative variety of modern mobile devices. We also designed and implemented a new online crowdsourcing system, which we have used to conduct a very large-scale, multi-month image quality assessment subjective study. The LIVE In the Wild Image Quality Database has over 350,000 opinion scores on 1,162 images evaluated by over 8100 unique human observers.","description_withheld":null,"homepage":"https://live.ece.utexas.edu/research/ChallengeDB/index.html","introduced_date":"2015-11-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/massive-online-crowdsourced-study-of","title":"Massive Online Crowdsourced Study of Subjective and Objective Picture Quality","first_author":"Deepti Ghadiyaram","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["LIVE-itw"],"data_loaders":[],"num_papers_in_archive":14,"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."}