Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids
Experimental results demonstrate the complexity of the dataset while highlighting the considerable promise of PEFT methods within flower image classification. We believe that our work not only provides a practical tool for orchid researchers, growers and market participants, but also provides a unique and valuable resource for further exploring fine-grained image classification tasks. The dataset and code are available at https://github.com/pengyingshu/Orchid2024 .
Authors
- Yüxia Zhou (ORCID: https://orcid.org/0000-0002-6579-6068)
- Li Zhang (ORCID: https://orcid.org/0000-0001-7725-9369)
- Weidong Li (ORCID: https://orcid.org/0000-0002-7073-1023)
- Guolin Huang
- Guimei Tang
- Huijie Fu
- Yingshu Peng
Institutions
- Changsha University (CN)
- Hunan Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- Plant Methods
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1186/s13007-024-01252-w
- Citations
- 2
- Primary Topic
- Plant and animal studies
- Type
- article
- Field-Weighted Citation Impact
- 2.06