Training and evaluation pipeline of an image classifier (Resnet50) for images of Pokemon. Code can be easily remade to preform data cleaning, augmentation, training and testing for any given dataset.
Achieved accuracy: 77%
Example of classified images can be found in the show_results.ipynb notebook.