This model is a fine-tuned version of
google/vit-base-patch16-224-in21k on the
Dusduo/1stGen-Pokemon-Images dataset.
It has been trained to discriminate between the pokemons from the
1st Generation.
It achieves the following results on the evaluation set:
A demonstration of the model application is
hosted on Spaces.
Feel free to check it out!
Transformer-based vision model for pokemon image classification.
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.
Moreover, the model was not designed to handle non pokemon images as well as images presenting several entities.
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.
