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This is a Quantitative Study study.

October 9, 2025Open Access

Automated Waste Classification with VGG16 CNN Model for Sustainable Waste Management

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The VGG16 CNN model classifies waste efficiently into organic and recycled categories, suggesting enhanced waste management.

The VGG16-based CNN model increased training accuracy from about 81% to 87%, demonstrating improved performance.
Validation accuracy for the model reached close to 89.9%, indicating its reliability in waste classification.
Factors like epoch number, batch size, and image augmentation influence the CNN's performance in waste classification.
This research supports environmental conservation efforts by improving recycling processes with automated waste management systems.

Poetro et al. (2025) studied this question.

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