{"url":"/dataset/hac","name":"HAC","full_name":"Hybrid Adverse Conditions","description_markdown":"**HAC** is a dataset for learning and benchmarking arbitrary Hybrid Adverse Conditions restoration. HAC contains 31 scenarios composed of an arbitrary combination of five common weather, with a total of 316K adverse-weather/clean pairs.\r\n\r\nSource: [Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go](https://arxiv.org/pdf/2305.09996v1.pdf)\r\n\r\nImage Source: [Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go](https://arxiv.org/pdf/2305.09996v1.pdf)","description_withheld":null,"homepage":"https://github.com/Jeasco/RAHC","introduced_date":"2023-05-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/restoring-images-captured-in-arbitrary-hybrid","title":"Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go","first_author":"Ye-Cong Wan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Restoration","url":"/task/image-restoration","datasets_with_task":"/datasets/task/image-restoration"}],"languages":[],"variants":["HAC"],"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."}