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  base_model:
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  - google/efficientnet-b0
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  pipeline_tag: image-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model:
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  - google/efficientnet-b0
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  pipeline_tag: image-classification
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+ ---
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+ # Trash Optimizer Model Repository
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+ ## Project Repository
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+ Trash Optimizer repository is hosted on github: https://github.com/cpoisson/trash-optimizer
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+ ## Dataset
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+ This project contains a collection of models designed for optimizing waste management through image classification. The models are trained on the following dataset:
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+ - **RealWaste**: [joebeachcapital/realwaste](https://www.kaggle.com/datasets/joebeachcapital/realwaste) - UCI Machine Learning Repository ([DOI](https://archive.ics.uci.edu/dataset/908/realwaste))
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+ - **Recyclable and Household Waste Classification**: [alistairking/recyclable-and-household-waste-classification](https://www.kaggle.com/datasets/alistairking/recyclable-and-household-waste-classification)
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+ - Custom dataset for specialized categories (batteries, light bulbs, electronics, etc.)
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+ ## Dataset Preprocessing
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+ The datasets have been preprocessed and assembled using a custom tools available in the `dataset` directory of the repository.
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+ ## Training scripts
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+ The training scripts for the models are available in the `scripts` directory of the repository. Each script is designed to train a specific model architecture on the provided datasets.