Synthetic Data For Real Problems (opens in new tab)

Computer vision is everywhere! But teaching an algorithm to identify objects requires a lot of data and this is definitely the case when we think about GeoAI But it is not enough to have a lot of data we also need data that is labeled If we are looking for cars in images we need a lot of images of cars and we need to know which pixels are the car! Of course, I am oversimplifying but I hope you get the idea, Now imagine that you can automatically generate a large labeled data set of realistic ...