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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 MFC and classifier - with this the accuracy of the model is 90,26%.
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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 MFC and classifier - with this the accuracy of the model is 90,26%.
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Can be found on Edge Impulse: https://studio.edgeimpulse.com/public/556871/live
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