Giecom/giecom-vit-model-clasification-waste
Image Classification
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Updated
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1
image
imagewidth (px) 160
474
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class label 11
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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0aluminium
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This is a recycling dataset that can be used for image classification. It has 11 categories:
It was scrapped from DuckDuckGo using this tool: https://pypi.org/project/jmd-imagescraper/