{"url":"/dataset/cgiqa-6k","name":"CGIQA-6K","full_name":"Computer Graphics Image Quality Assessment","description_markdown":"CGIQA-6k database is a large-scale, in-the-wild CGIQA database consisting of 6,000 CGIs. The CGIQA-6k dataset is a large-scale, in-the-wild database for Computer Graphics Image Quality Assessment (CGIQA). It consists of 6,000 Computer Graphics Images (CGIs). These CGIs are artificially generated visuals created using computer programs and are prevalent across various platforms, from video games to streaming media.","description_withheld":null,"homepage":"https://github.com/zzc-1998/CGIQA6K","introduced_date":"2023-03-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/subjective-and-objective-quality-assessment-4","title":"Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images","first_author":"ZiCheng Zhang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CGIQA-6K"],"data_loaders":[],"num_papers_in_archive":6,"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."}