As described in the about section, I have strong interests in image processing and computer vision. I believe that there is untapped potential int these fields to assist others day-to-day and improve the overall human condition. To further familiarize myself in the field, I opted to explore imaginative use cases that pushes the boundaries of the field of computer vision. One of these use cases is a model that analyzes an image of a dish and outputs a recipe complete with ingredients, measurements of said ingredients, and instructions to make the dish. That paper is Meta’s Inverse Cooking: Recipe Generation from Food Images (Salvador et al., 2019)

By training the underlying model and comparing its performance to the benchmarks listed in the paper, I was able to do the following:

• Developed further intuition in computer vision as well as introduce myself to the field of natural language processing.
• Strengthed my skills in building and training convolutional neural networks and transformer models in PyTorch.
• Refamiliazed myself with high-performance computing clusters.