This series Identity Crisis is an exploration into generative art utilizing Machine Learning as a tool to create artwork that has never existed previously. By training an ML model with a dataset of 4000+ images of abstract portraits & paintings , image synthesis is performed analyzing the existing media. Learning colors, features & characteristics, finally creating endless variations of the portraits that are entirely unique. The final output is an animation flowing between generated images that many artists relate to as a “machine hallucination”.
