Generation of Artificial Training Data for Deep Learning
Can artificial training data be used for deep learning applications in computer vision? We investigated this by building a framework that uses computer graphics to generate large quantities of images portraying humans. Generative Adversarial Networks (GANs) were used to bridge the gap in appearance between the generated and real images. A dataset’s potential was estimated by first using it to trai