{"url":"/dataset/raindropsonwindshield","name":"RaindropsOnWindshield","full_name":null,"description_markdown":"**RaindropsOnWindshield** is a dataset for training and assessing vision algorithms' performance for different tasks of image artifacts detection on either camera lens or windshield. The dataset contains 8190 images, of which 3390 contain raindrops. Images are annotated with the binary mask representing areas with raindrops.","description_withheld":null,"homepage":"https://github.com/EvoCargo/RaindropsOnWindshield","introduced_date":"2021-04-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/raindrops-on-windshield-dataset-and","title":"Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm","first_author":"Vera Soboleva","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["RaindropsOnWindshield"],"data_loaders":[{"repo":"https://github.com/EvoCargo/RaindropsOnWindshield","url":"https://github.com/EvoCargo/RaindropsOnWindshield","frameworks":[]}],"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."}