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What is Plastic Waste Classification Using Deep Learning: Insights From The Wadaba Dataset about?

This study investigates the use of deep learning, particularly YOLO models, for classifying plastic waste using the WaDaBa dataset, achieving high accuracy rates, with YOLO-11n reaching 98.03% accuracy. The research highlights the inefficiencies of traditional waste management and the potential of AI-driven solutions to enhance recycling efforts. Additionally, the study compares various models, including MobileNet V2, demonstrating their effectiveness in real-time waste classification applications.

Author

lqhuy112233

Language

EN