Waste Classification using CNN Algorithm

Mohammad Diqi (Universitas Respati Yogyakarta, Indonesia)

Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC)
Vol. 1 No. 1 (2022): Proceeding of International Conference on Information Science and Technology In

One of the cornerstones to efficient waste management is proper and accurate waste classification. However, people find it challenging to categorize such a big and diverse amount of waste. As a result, we employ deep learning to classify waste efficiently. This paper uses the CNN algorithm to provide a problem-solving strategy to waste classification. The model achieves an accuracy of 0.9969 and a loss of 0.0205. As a result, we argue that employing CNN algorithms to categorize waste yields better results and reduces losses efficiently.