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What is Lightweight CNN for Garbage Classification about?

This paper presents a lightweight convolutional neural network model, GA_MobileNet, designed for garbage classification, which significantly reduces parameters and computational load while improving accuracy. The model classifies six types of recyclable waste and demonstrates advantages over traditional models like ResNet-50, achieving a 280-fold reduction in parameters and a 50% decrease in operating time. The study emphasizes the importance of efficient garbage classification for environmental protection

Author

chetankumar94944

Language

EN