We focus on learning combined modalities (cooking recipes and food images).
The major goal of the project is to understand food images. This includes: training machine learning models for translating food images into recipes and back. We want to train models that can achieve in depth analysis of food images through the use of large scale cooking recipe data and be able to transform recipes into picture and pictures into recipes.
