Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food

This paper introduces a new dataset for the realistic synthesis of letters on food. Specifically, the "Ketchup GAN" dataset consists of real-world images of egg omelettes decorated with ketchup letters. Our dataset contains sufficient size and variety to train and evaluate deep learning-based generative models. In addition, we generate a synthetic ketchup-free set, which enables us to train paired-based generative adversarial networks (GAN). The...