{"url":"/dataset/snow100k","name":"Snow100K","full_name":null,"description_markdown":"The **Snow100K** dataset consists of \r\n\r\n1) 100k synthesized snowy images\r\n\r\n2) corresponding snow-free ground truth images\r\n\r\n3) snow masks\r\n\r\n4) 1,329 realistic snowy images\r\n\r\nThe images of 2) and 4) were downloaded via the Flickr api, and were manually divided into snow and snow-free categories, respectively. In addition,  each image are normalized to the size of 640 pixels and retained its original aspect ratio.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/desnownet-context-aware-deep-network-for-snow","title":"DesnowNet: Context-Aware Deep Network for Snow Removal","first_author":"Yun-Fu Liu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Snow Removal","url":"/task/snow-removal","datasets_with_task":"/datasets/task/snow-removal"}],"languages":[],"variants":["Snow100K"],"data_loaders":[{"repo":"https://github.com/igitugraz/weatherdiffusion","url":"https://sites.google.com/view/yunfuliu/desnownet","frameworks":["pytorch"]}],"num_papers_in_archive":51,"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."}