A Hybrid Deep Learning Model for Waste Detection and Classification Utilizing YOLOv8 and CNN

A Hybrid Deep Learning Model for Waste Detection and Classification Utilizing YOLOv8 and CNN

This research presents a new hybrid deep-learning model for object identification and classification. The model combines the excellent classification performance of a Convolutional Neural Network (CNN) with the strong detection capabilities of YOLOv8. The suggested approach generates bounding boxes...

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Bibliographic Details
Main Authors: Ain Atiqa Mustapha, Sarah ‘Atifah Saruchi, Heru Supriyono, Mahmud Iwan Solihin
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Engineering Proceedings
Subjects:
object detection
deep learning
CNN
YOLO
kitchen waste classification
Online Access:https://www.mdpi.com/2673-4591/84/1/82
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