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@@ -46,7 +46,7 @@ Transformer-based vision model for pokemon image classification.
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  This model is intended to classify between pokemons from the 1st Generation. Therefore, when provided with images of pokemon from posterior generation, the model outputs won't be usable as such.
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  Moreover, the model was not designed to handle non pokemon images as well as images presenting several entities.
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- However, an additional layer can help mitigate the risk of wrongly classifying non pokemon images by analyzing the spread of the output (the confusion of the model), such a layer can be found in my implementation, available [here].(https://github.com/A-Duss/GottaClassifyEmAll)
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  ## Training procedure
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  This model is intended to classify between pokemons from the 1st Generation. Therefore, when provided with images of pokemon from posterior generation, the model outputs won't be usable as such.
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  Moreover, the model was not designed to handle non pokemon images as well as images presenting several entities.
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+ However, an additional layer can help mitigate the risk of wrongly classifying non pokemon images by analyzing the spread of the output (the confusion of the model), such a layer can be found in my implementation, available [here](https://github.com/A-Duss/GottaClassifyEmAll).
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  ## Training procedure
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