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Comparative Analysis of ViT and ResNet Architectures for Disease Detection in Tomato Leaf Images

This repo contains the notebook used for the blogpost "Comparative Analysis of ViT and ResNet Architectures for Disease Detection in Tomato Leaf Images", which compares the accuracy, and training and inference speed of ViT-base and ResNet-50 at classifying tomato diseases in images. This project was part of the Seminar Computer Vision by Deep Learning course at Delft University of Technology.