Flower Classifications Using AI Model
by Nguyen Kieu Khanh, Le Bao Dan, Nguyen Huu Hoang Minh, and Mr, Nguyen Duc Quang
Category: STEM
Abstract – This project was about using an AI to recognize 3 types of flower via their pictures taken from different angles under variable light conditions. Our objective for this project was for us to know more about AI and as to how we can apply our learning’s to develop an AI system to help others learn more about flowers. Foremost challenge we faced was to learn take photographs of the selected flowers for which our teacher supervisors helped us understanding camera functions and their use. Nevertheless, another challenge was the photograph angle, lighting and distance at which the photographs were required to be taken. Consequently, we took more than three hundred photographs for our project. During 8 weeks of this project, we used tools like model Inception V3 and Google Colab. Color, Angle and light intensity were the factors of photographs used for this project. The results of this initial project were encouraging though not that promising providing scope for enhancements and improvements.