Satellite Images to real maps with Deep Learning (and reverse)
In this project, I developed a Pix2Pix generative adversarial network for image-to-image translation. I have used the so-called maps dataset used in the Pix2Pix paper. The Pix2Pix model is a type of conditional GAN, or cGAN, where the generation of the output image is conditional on an input, in this case, a source image. The image translation problem involves converting satellite photos to Google maps format, or the reverse, Google maps images to Satellite photos.