Deep Learning-Based Classification of Flowers Using FlowerNet Model

Achieving the rapid and accurate detection of flowers in the natural environment is not easy, the study of floral classification systems is a crucial topic. However, there are still some difficulties in the recognition of flower photos due to the complicated backgrounds of flowers, the similarities between the many kinds of flowers, and the differences within the same species of flowers. The conventional classification of flowers is mostly based on the three characteristics of color, shape, and texture; however, the accuracy of this classification is not very high.