{"url":"/dataset/phenobench","name":"PhenoBench","full_name":"PhenoBench — A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain","description_markdown":"The PhenoBench dataset contains multiple image segmentation challenges from the agricultural domain.","description_withheld":null,"homepage":"https://www.phenobench.org/","introduced_date":"2023-06-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/phenobench-a-large-dataset-and-benchmarks-for","title":"PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain","first_author":"Jan Weyler","url":null},"license":{"name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Panoptic Segmentation","url":"/task/panoptic-segmentation","datasets_with_task":"/datasets/task/panoptic-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PhenoBench"],"data_loaders":[],"num_papers_in_archive":9,"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":"2026-09-25T09:33:49+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."}