{"url":"/dataset/riseholme-2021","name":"Riseholme-2021","full_name":null,"description_markdown":"Risholme-2021 contains >3.5K images of strawberries at various growth stages along with anomalous instances. Data collection was performed in the strawberry research farm at the Riseholme campus of the University of Lincoln in UK. For more details, please check out \"Homepage\" down below.","description_withheld":null,"homepage":"https://github.com/ctyeong/Riseholme-2021","introduced_date":"2021-09-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/self-supervised-representation-learning-for-7","title":"Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies","first_author":"Taeyeong Choi","url":null},"license":{"name":"CC BY-NC-SA","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"One-class classifier","url":"/task/one-class-classifier","datasets_with_task":"/datasets/task/one-class-classifier"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Riseholme-2021"],"data_loaders":[],"num_papers_in_archive":1,"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."}