Waste Classification using CNN Algorithm
Mohammad Diqi
- 26 Feb 2022
Vol. 1, Iss: 1, pp 130-135
3
TL;DR: In this paper , the authors used the CNN algorithm to provide a problem-solving strategy to waste classification, which achieved an accuracy of 0.9969 and a loss of 1.0205.
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Abstract: 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.
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