{"url":"/dataset/eyeq","name":"EyeQ","full_name":null,"description_markdown":"Dataset with 28,792 retinal images from the EyePACS dataset, based on a three-level quality grading system (i.e., `Good', `Usable' and `Reject') for evaluating RIQA methods. \r\n\r\nSource: [Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces](/paper/evaluation-of-retinal-image-quality)","description_withheld":null,"homepage":"https://github.com/hzfu/EyeQ","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/evaluation-of-retinal-image-quality","title":"Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces","first_author":"Huazhu Fu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Image Quality Assessment","url":"/task/image-quality-assessment","datasets_with_task":"/datasets/task/image-quality-assessment"}],"languages":[],"variants":["EyeQ"],"data_loaders":[{"repo":"https://github.com/hzfu/EyeQ","url":"https://github.com/hzfu/EyeQ","frameworks":[]}],"num_papers_in_archive":28,"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."}