{"url":"/dataset/focuspath","name":"FocusPath","full_name":null,"description_markdown":"FocusPath is a dataset compiled from diverse Whole Slide Image (WSI) scans in different focus (z-) levels. Images are naturally blurred by out-of-focus lens provided with GT scores of focus levels. The dataset can be used for No-Reference Focus Quality assessment of Digital Pathology/Microscopy images.\r\n\r\nSource: [FocusPath](https://github.com/mahdihosseini/FoucsPath)","description_withheld":null,"homepage":"https://github.com/mahdihosseini/FoucsPath","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/encoding-visual-sensitivity-by-maxpol","title":"Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["FocusPath"],"data_loaders":[{"repo":"https://github.com/mahdihosseini/FoucsPath","url":"https://github.com/mahdihosseini/FoucsPath","frameworks":[]}],"num_papers_in_archive":7,"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."}