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Confusion matrix of proposed model The confusion matrix of illustrates high positive results of accuracy showing that the model is good at the close prediction of the positive classes.

Confusion matrix of proposed model The confusion matrix of illustrates high positive results of accuracy showing that the model is good at the close prediction of the positive classes.

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Fig. 1 Example images from Garbage Dataset
Fig. 2 Xception architecture [34]
Fig. 3 Accuracy and F1-score of models Our proposed SE-Xception model...
Fig. 4 Confusion matrix of proposed model The confusion matrix of Fig....
Images counts of garbage classes by split
A Novel SE-Xception Model for Robust Classification of Garbage
Conference Paper
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  • Sep 2024
In this study, we propose a novel deep learning model, SE-Xception, which integrates Squeeze-and-Excitation (SE) blocks into the Xception architecture for solid waste classification. This model is designed to address the growing global challenge of waste accumulation by enhancing the classification accuracy of waste materials. Utilizing a publicly...
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