Abstract: The present disclosure relates generally to artificial intelligence (AI), machine learning (ML), and deep learning technologies. More specifically, the disclosure relates to a vehicle image composite system that employs computer vision (CV) along with a Generative Adversarial Network (GAN) to generate realistic composite car images. For example, in one or more embodiments, the composite car image generator system trains a Convolutional Neural Network (CNN) to learn the Make Model Year parameters of all vehicle images provided. Once trained, the determined Make Model Year parameters of the vehicles allow the CNN to produce realistic composite images of a vehicle of any make, model, year, and trim level.