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+ ---
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+ # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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+ # Doc / guide: https://huggingface.co/docs/hub/model-cards
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+ {}
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+ ---
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+ # Model Card for mrob937/2024-24679-image-autogluon-predictor
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+ ### Model Description
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+ This is an AutoGluon Tabular AutoML implementation on a tabular dataset recording images of playing cards where the target variables indicate whether or not the card is a face or number card.
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+ - **Model developed by:** Myles Robinson
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+ - **Model type:** AutoGluon MultiModalPredictor
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+ ### Model Sources [optional]
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+ <!-- Provide the basic links for the model. -->
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+ - **Dataset:** aedupuga/cards-image-dataset
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+ ### Direct Use
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+ - This model was intended to practice automl implementation on an image dataset
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+ ## Bias, Risks, and Limitations
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+ - Small data size.
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+ - Personal preference of the dataset creator in classification.
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+ ## Training Data:
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+ The model was trained on the augmented split of the "aedupuga/cards-image-dataset" dataset. The data includes images of playing cards where the target variable indicates whether the given card is a face card or not.
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+ ## Evaluation Data:
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+ The model achieved an accuracy of 1.00 and a weighted F1 score of 1.00 on the original dataset.
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+ ## Model Card Contact
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+ Myles Robinson (Carnegie Mellon Univerity)- mylesr@andrew.cmu.edu