The project started by assembling a dataset of over 10k artworks from open collections through their API, such as the MetMusem and the Rijksmuseum. After training a Machine Learning Model to recognize flowers of all types from all visual traditions (western painting, middle eastern carpet-making or east asian ink-wash painting, etc) they were cropped and fed to a GAN to synthetize them in new imagery. To reconvert them back to analog media, drawings and mixed media interventions were made based on the resulting images.