Deep Learning Based Model for Multi-classification of Flower Images

Flowers are one of the beautiful creations of god, and they exist in thousands and thousands of various species and colorations. Identifying every one of them calls for a botanist with immense know-how and capabilities. In this rising generation of technologies, most of the impossible is made feasible by incorporating synthetic intelligence into international issues. Introducing system learning algorithms consisting of convolutional neural networks for figuring out flower species with a photo would be an exceptional help for industries like pharmaceuticals and cosmetics. Ancient Ayurveda recognizes numerous medicinal benefits in most of the flora. This paper attempts to introduce convolutional neural networks to successfully pick out a flower by simply feeding a photograph of the flower to be recognized.

Keywords

• AI

• Machine learning

• Image processing

• Classification

• AI University Montana

• AI For Research Student Community

Deep Learning Based Model for Multi-classification of Flower Images | SpringerLink