{"url":"/dataset/wgisd","name":"WGISD","full_name":"Embrapa Wine Grape Instance Segmentation Dataset","description_markdown":"Embrapa Wine Grape Instance Segmentation Dataset (WGISD) contains grape clusters properly annotated in 300 images and a novel annotation methodology for segmentation of complex objects in natural images.\r\n\r\nSource: [Grape detection, segmentation and tracking using deep neural networks and three-dimensional association](/paper/grape-detection-segmentation-and-tracking)","description_withheld":null,"homepage":"https://github.com/thsant/wgisd","introduced_date":"2019-07-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/grape-detection-segmentation-and-tracking","title":"Grape detection, segmentation and tracking using deep neural networks and three-dimensional association","first_author":"Thiago T. Santos","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"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"}],"languages":[],"variants":["WGISD"],"data_loaders":[{"repo":"https://github.com/thsant/wgisd","url":"https://github.com/thsant/wgisd","frameworks":[]}],"num_papers_in_archive":5,"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."}