Machine Learning Framework for dynamic image style evaluation

This research project had a closer look at the possibilities of automatization for professional retouch processes. These were investigated with the help of machine learning and artificial intelligence (AI). Currently available tools on the market (2022) offer already a wide range of possibilities to improve the retouching process with AI but often lack in quality. Especially for professional retouches quality is often too low. The main reason for this lies in the data used for training the AI system. This is exactly where professional retouch companies can take a profit. They often have their big, own, and qualitatively high image material, which can be used to train AI systems. This research project shows, how companies can exploit their data resources and implement their own AI systems. That will help to automatize a lot of processes without losing any kind of quality.