Create README.md

README.md

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+# Model Card for aedupuga/image-autogluon-predictor
+
+### Model Description
+
+
+This is an AutoGluon Image AutoML NN implementation on a image dataset containing cover images of books. The model predicts whether the book is "fiction" or "non-fiction".
+
+
+- **Model developed by:** Anuhya Edupuganti
+- **Model type:** AutoGluon TabularPredictor
+
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+- **Dataset:** jennifee/HW1-images-dataset
+
+
+### Direct Use
+- This model was intended to practice automl implementation on an image dataset
+
+## Bias, Risks, and Limitations
+- Small data size. cannot to generallised to all existing books on the market.
+- 
+## Training Data:
+
+The model was trained on the augmented split of the "jennifee/HW1-images-dataset".
+
+## Evaluation Data:
+
+The model achieved an accuracy of 1.000 and a weighted F1 score of 1.000 on the original dataset.
+
+## Model Card Contact
+
+Anuhya Edupuganti (Carnegie Mellon Univerity)- aedupuga@andrew.cmu.edu