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Trash Classification
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This project aim to classify trash images into six distinct categories using a Convolutional Neural Network (CNN). The model is trained on a dataset of labeled trash images, and its performance is tracked and evaluated using the Weights & Biases (wandb) experiment tracking tool.
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Dataset
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The dataset used for this project is TrashNet, a labeled collection of images of different types of trash. I load this dataset using the Hugging Face Datasets library.
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license: mit
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license: mit
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datasets:
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- garythung/trashnet
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