No title
This thesis presents a pipeline for automated object identification and dot based annotation in User Generated Content (UGC) images. The need for this type of model is motivated by IKEA’s digital product ”Content Recommendations” which aims to enhance customer engagement through shoppable UGC images and addresses the challenge of detecting specific products in various, real-world visual contexts.
