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README.md
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- Trash
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size_categories:
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- 10K<n<100K
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---
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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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It consist of both training and testing data, more detail can be seen in the edge impulse.
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- Trash
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size_categories:
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- 10K<n<100K
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task_categories:
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- audio-classification
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pretty_name: j
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---
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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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It consist of both training and testing data, more detail can be seen in the edge impulse.
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