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  <!-- Provide a longer summary of what this model is. -->
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- This model was created for the "Feather in Focus!" Kaggle competition of the Information Studies master: Applied Machine Learning course at the University of Amsterdam.
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- The goal of the competition was to apply novel approaches to reach the highest possible accuracy on a bird classification task with 200 classes. We were given a labeled dataset
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- of 3926 images and an unlabeled dataset of 4000 test images. Out of 32 groups and 1083 submissions we achieved the #1 accuracy on the test set with 0.87950.
 
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  - **Model type:** [More Information Needed]
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  - **License:** [More Information Needed]
 
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  <!-- Provide a longer summary of what this model is. -->
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+ This model was created for the "Feather in Focus!" Kaggle competition of the Information Studies Master's Applied Machine Learning course at the University of Amsterdam.
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+ The goal of the competition was to apply novel approaches to achieve the highest possible accuracy on a bird classification task with 200 classes.
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+ We were given a labeled dataset of 3,926 images and an unlabeled dataset of 4,000 test images.
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+ Out of 32 groups and 1,083 submissions, we achieved the #1 accuracy on the test set with a score of 0.87950.
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  - **Model type:** [More Information Needed]
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  - **License:** [More Information Needed]