{"url":"/dataset/cabuar","name":"CaBuAr","full_name":"CaBuAr: California Burned Areas dataset","description_markdown":"This dataset contains images from Sentinel-2 satellites taken before and after a wildfire. \r\nThe ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images. \r\nThe dataset is designed to do binary semantic segmentation of burned vs unburned areas.","description_withheld":null,"homepage":"https://huggingface.co/datasets/DarthReca/california_burned_areas","introduced_date":"2024-01-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/cabuar-california-burned-areas-dataset-for","title":"CaBuAr: California Burned Areas dataset for delineation","first_author":"Daniele Rege Cambrin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"},{"name":"Segmentation","url":"/task/segmentation","datasets_with_task":"/datasets/task/segmentation"},{"name":"Segmentation Of Remote Sensing Imagery","url":"/task/segmentation-of-remote-sensing-imagery","datasets_with_task":"/datasets/task/segmentation-of-remote-sensing-imagery"}],"languages":[],"variants":["CaBuAr"],"data_loaders":[],"num_papers_in_archive":2,"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."}