Domestic garbage target detection based on improved YOLOv5 algorithm
The output of household garbage has increased rapidly in the world, due to the development of the economy, the improvement of the living standards of residents, and the acceleration of urbanization. The process of manual garbage classification is time-consuming and laborious, and the effect is still...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE
2023
|
Online Access: | http://psasir.upm.edu.my/id/eprint/37565/ https://ieeexplore.ieee.org/document/10165597 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Be the first to leave a comment!