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  The dataset can be used to train a model for trash sorting, which consists of five categories of labels/trash audio samples: Metal, Glass, Cardboard, Plastic and Noise.
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- The model created from this data set uses MFE and classifier - with this the accuracy of the model is 94,55%.
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  It can be found on Edge Impulse: https://studio.edgeimpulse.com/public/574071/live
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  It consist of both training and testing data, more detail can be seen in the edge impulse.
 
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  The dataset can be used to train a model for trash sorting, which consists of five categories of labels/trash audio samples: Metal, Glass, Cardboard, Plastic and Noise.
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+ The model created from this data set uses MFE and classifier - with this the accuracy of the model is 94,31%.
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  It can be found on Edge Impulse: https://studio.edgeimpulse.com/public/574071/live
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  It consist of both training and testing data, more detail can be seen in the edge impulse.