Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/84785
Title: FRUIT IDENTIFICATION SYSTEM FOR CALORIE DETERMINATION TO SUPPORT DIETERS AND ATHLETES
Authors: Nguyễn, Thái Nghe
Ngô, Quốc Vĩ
Keywords: CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO
Issue Date: 2022
Publisher: Trường Đại Học Cần Thơ
Abstract: Recently, there have been great advancements in the field of deep learning making it a popular choice for image processing applications. Recognition and classification of fruits using deep learning is one of the exciting applications of computer vision for commercial as well as agricultural applications. Nevertheless, the researchers still face challenges while the classification of fruits due to similarity of color, shape, and size. In this project I use MobilenetV2 architecture. On the application side I use Flutter framework. I use the data set from Kaggle and add 6 popular fruits in Vietnam. Research results: Successfully building Fruit identification system for calorie determination to support dieters and athletes. The application can work on both Android and IOS
Description: 50 Tr
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/84785
Appears in Collections:Trường Công nghệ Thông tin & Truyền thông

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