multiplexing reality II

Synthetic image generated with Machine Learning (AI) from algorithmic processes with computer vision in Python programming language to segment, detect, classify, group, and reconfigure pixels to generate a new landscape, this output was used as initial image to an Image/text to image in a Machine Learning model (AI) using the landscape as a vehicle to explore the complex dynamics between humans, nature, and technology.