Comparing Instance Segmentation with Models Trained with and without GAN training samples

Note that this is a project that is currently under development.

• Extension to paper Exploring and Classifying Beef Retail Cuts Using Transfer Learning (2022), by Abdallah Abuzaid et al.
• The goal of this project is to reduce the cost of manual human image annotation.
• Used a StyleGAN2 architecture to take a set of 10 beef cut image-annotation pairs, and increase the set of images from 10 to as many as needed.
• I intend to measure under which conditions using a GAN to create more data is beneficial to instance segmentation.