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README.md
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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
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