摘要: With the rapid development of digital photos that can be taken at a very low cost using a low powered device, there is a demand for programmes that can edit images for users who have no technical expertise of image editing. We've ... 展开 With the rapid development of digital photos that can be taken at a very low cost using a low powered device, there is a demand for programmes that can edit images for users who have no technical expertise of image editing. We've employed multiple Machine Learning models of GAN -Generative Adversarial Network - and algorithms to extract information from photographs and produced two modules of it summed up as “AI Photo Editor” which can be used as an all-in-one image editor based on the same principle. Using the input satellite image as a starting point, one of the modules can remove various small things from the image, while another one can create the “Map View.” It can also be quite beneficial in terms of providing datasets/databases for other Machine Learning and Neural Network models. 收起