Please use this identifier to cite or link to this item:
https://dspace.ctu.edu.vn/jspui/handle/123456789/84785
Full metadata record
DC Field | Value | Language |
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dc.contributor.advisor | Nguyễn, Thái Nghe | - |
dc.contributor.author | Ngô, Quốc Vĩ | - |
dc.date.accessioned | 2023-01-05T03:24:28Z | - |
dc.date.available | 2023-01-05T03:24:28Z | - |
dc.date.issued | 2022 | - |
dc.identifier.other | B1809728 | - |
dc.identifier.uri | https://dspace.ctu.edu.vn/jspui/handle/123456789/84785 | - |
dc.description | 50 Tr | vi_VN |
dc.description.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 | vi_VN |
dc.language.iso | en | vi_VN |
dc.publisher | Trường Đại Học Cần Thơ | vi_VN |
dc.subject | CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO | vi_VN |
dc.title | FRUIT IDENTIFICATION SYSTEM FOR CALORIE DETERMINATION TO SUPPORT DIETERS AND ATHLETES | vi_VN |
dc.type | Thesis | vi_VN |
Appears in Collections: | Trường Công nghệ Thông tin & Truyền thông |
Files in This Item:
File | Description | Size | Format | |
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_file_ Restricted Access | 7.9 MB | Adobe PDF | ||
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