{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/orchid2024-a-cultivar-level-dataset-and","title":"Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids","arxiv_id":null,"date":"2024-08-13","proceeding":"Plant Methods 2024 8","authors":["Yingshu Peng","Yuxia Zhou","Li Zhang","Hongyan Fu","Guimei Tang","Guolin Huang","Weidong Li"],"abstract":"The authors dedicated over a year to collecting a cultivar image dataset for Chinese Cymbidium orchids named Orchid2024. This dataset contains over 150,000 images spanning 1,275 different categories, involving visits to 20 cities across 12 provincial administrative regions in China to gather pertinent data. Subsequently, we introduced various visual parameter-efficient fine-tuning (PEFT) methods to expedite model development, achieving the highest top-1 accuracy of 86.14% and top-5 accuracy of 95.44%.","url_abs":"https://plantmethods.biomedcentral.com/articles/10.1186/s13007-024-01252-w","url_pdf":"https://plantmethods.biomedcentral.com/articles/10.1186/s13007-024-01252-w","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"orchid2024-a-cultivar-level-dataset-and","repo_url":"https://github.com/pengyingshu/Orchid2024","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"fine-grained-image-classification","task_name":"Fine-Grained Image Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"parameter-efficient-fine-tuning","task_name":"parameter-efficient fine-tuning"}],"methods":[],"datasets_introduced":[{"slug":"orchid2024","name":"Orchid2024","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}