{"url":"/dataset/ldd","name":"LDD","full_name":"LDD: A Grape Diseases Dataset Detection and Instance Segmentation","description_markdown":"The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically identify plant organs and the possible diseases\r\nassociated with them, allows to effectively scale and automate crop monitoring and its diseases control.\r\n\r\nTo address the problem related to early disease detection and diagnosis on vines plants, a new dataset has been created with the goal of advancing the state-of-the-art of diseases recognition via instance segmentation approa\r\nches.\r\n\r\nThis was achieved by gathering images of leaves and clusters of grapes affected by diseases in their natural context.\r\n\r\nThe dataset contains photos of 10 object types which include leaves and grapes with and without symptoms of the eight more common grape diseases, with a total of 17,706 labeled instances in 1,092 images.\r\n\r\nMultiple statistical measures are proposed in order to offer a complete view on the characteristics of the dataset.\r\n\r\nPreliminary results for the object detection and instance segmentation tasks reached by the models Mask R-CNN and R^3-CNN are provided as baseline, demonstrating that the procedure is able to reach promising results about th\r\ne objective of automatic diseases’ symptoms recognition.","description_withheld":null,"homepage":"https://zenodo.org/records/10573036","introduced_date":"2022-06-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/ldd-a-dataset-for-grape-diseases-object","title":"LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation","first_author":"Leonardo Rossi","url":null},"license":{"name":"Creative Commons Attribution Non Commercial Share Alike 4.0 International","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"}],"languages":[],"variants":["LDD"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/instance-segmentation-on-ldd","task":"Instance Segmentation","dataset_variant":"LDD","rows":1,"metrics":["mask AP"],"first_row_in_archive_order":{"model":"R^3-CNN","paper":"/paper/ldd-a-dataset-for-grape-diseases-object","metrics":{"mask AP":"22.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-ldd","task":"Object Detection","dataset_variant":"LDD","rows":1,"metrics":["box mAP"],"first_row_in_archive_order":{"model":"R^3-CNN","paper":"/paper/ldd-a-dataset-for-grape-diseases-object","metrics":{"box mAP":"22.7"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ldd-a-dataset-for-grape-diseases-object","title":"LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation","date":"2022-06-21","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"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."}