A Self-Supervised Learning-Based Computer Recognition Platform for Orchidaceae Classification
Wu-Chih Hu, Guan-Zhi Huang, Xiang-Rui Huang, Wei-Chien Wang, Liang-Bi Chen · 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) · 2022
This paper proposes an orchid classification platform based on a self-supervised learning model. Users can view orchid information through the computer application platform and upload unknown orchid images to the platform. The orchid information is displayed on the visualization window. In terms of the recognition of orchids, fine-grained classification is used to classify orchids. The fine-grained classification model is usually applied to plants. This model is more suitable for the classification of hundreds of orchid species. The fine-grained classification of orchids is suitable for this task, and the classification system is built on the server side. The user only needs to install the client-side application and operate it directly.