| Title |
Review of Flower Image Classification |
| Abstract |
Flower image classification poses a challenging task in computer vision due to the diverse varieties of flowers and their intricate visual characteristics. Convolutional neural networks (cnns) have emerged as powerful tools in recent years for addressing this challenge. Additionally, deep learning techniques have proven valuable in this context. This paper aims to provide an overview of various strategies and methodologies currently employed for categorizing floral images using deep learning approaches |
| Keywords |
Image classification, Deep learning, Flower classification, Transfer learning, Neural network |
| Reserch Area |
Engineering |
| Reserch Paper |
AIJFR2401004 - V2 I1.pdf |
| Author(s) |
Sachin Dhasal, Surya Gokal, Avani Kanal |
| Country |
India |
