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Comparing Different CNN Architectures to Classify Trading Cards

This repository contains the code for a paper handed in for the Scientific Writing course at the University of Basel in the fall semester of 2025.

Running the code

This code depends on this dataset: https://www.kaggle.com/datasets/archanghosh/yugioh-database/versions/1

The dataset needs to be in the same directory as the code when the code is executed. preprocessing.py needs to be run first as it transforms the data. Afterwards to models can be trained with or without using oversampling by executing train_all_oversample.py or train_all_normal.py.

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This project aims to recognize non-text features of Yu-Gi-Oh! trading cards

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