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S&T Best Computing Projects
Green star : multi-object detection technology for waste classification and detection
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Green star : multi-object detection technology for waste classification and detection - pdf
Green star : multi-object detection technology for waste classification and detection - video1
Green star : multi-object detection technology for waste classification and detection - video2
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作品集
S&T Best Computing Projects
Record Details
识别号
stcompfyp:158
题名
Green star : multi-object detection technology for waste classification and detection
作品类型
Final Year Project/Work
系列 / 集 / 库
S&T Best Computing Projects
创建者
Zheng, Yangyue (group member)
Yang, Yuxin (group member)
Cai, Yingkai (group member)
Wang, Yi (group member)
Liu, Yalin Alin 劉亞林 (supervisor)
学院 / 部门
School of Science and Technology (S&T)
课程
Bachelor of Computing with Honours in Internet Technology
Bachelor of Science with Honours in Computer Science
日期
2023
摘要
To improve waste separation in Hong Kong, an application called Green Star will be developed to detect four waste categories and allow user-uploaded images and categories. The model’s accuracy will improve as the database is updated based on user images. Multiple models will be provided for different scenarios, making Green Star superior to existing apps.
资料类型
Mixed
语言
English
资料描述
This work includes 1 PDF and 2 video clips.
附注
COMP S456F Software System Development Project
存取限制
Public Access
固定连结
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:158
Object Details
识别号
stcompfyp:159
题名
Green star : multi-object detection technology for waste classification and detection - pdf
系列 / 集 / 库
S&T Best Computing Projects
资料类型
PDF
资料描述
3 pages.
存取限制
Public Access
固定连结
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:159
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