{"url":"/dataset/yorktag","name":"YorkTag","full_name":null,"description_markdown":"YorkTag provides pairs of sharp/blurred images containing fiducial markers and is proposed to train and qualitatively and quantitatively evaluate our model.","description_withheld":null,"homepage":"https://drive.google.com/file/d/1S3wVptR_mzrntuCtEarkXHE6d1zN6jd3/view?usp=sharing","introduced_date":"2021-09-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/ghost-deblurgan-and-its-application-to","title":"Application of Ghost-DeblurGAN to Fiducial Marker Detection","first_author":"Yibo Liu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Deblurring","url":"/task/deblurring","datasets_with_task":"/datasets/task/deblurring"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["YorkTag"],"data_loaders":[],"num_papers_in_archive":1,"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."}