{"url":"/dataset/cherrybbch72","name":"CherryBBCH72","full_name":"Cherry fruitlets BBCH72","description_markdown":"The photo fixation of cherry fruitlets was done in the LatHort orchard in Dobele, at the development of fruit (BBCH stage 72). BBCH-scale describes the phenological development of grapes: 7 - development of fruit; 72 - fruit size up to 20 mm. Two photo images were taken for each tree – perpendicularly, in a tree-facing view and in an oblique view. The images were annotated using the tool makesense.ai. Then the annotated images 3008x2000 were automatically cropped out on 640x640 images with overlap 30% and validated manually. The images were saved in YOLO format.\r\n\r\nSource: <a href=\"https://www.kaggle.com/datasets/projectlzp201910094/cherrybbch72\">https://www.kaggle.com/datasets/projectlzp201910094/cherrybbch72</a>\r\n\r\nPresented in the article: Kodors, S.; Zarembo, I.; Lācis, G.; Litavniece, L.; Apeināns, I.; Sondors, M.; Pacejs, A. Autonomous Yield Estimation System for Small Commercial Orchards Using UAV and AI. Drones 2024, 8, 734. <a href=\"https://doi.org/10.3390/drones8120734\">https://doi.org/10.3390/drones8120734</a>","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/projectlzp201910094/cherrybbch72","introduced_date":"2024-12-04","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"},{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["CherryBBCH72"],"data_loaders":[],"num_papers_in_archive":0,"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."}