mnist+context dataset

The dataset consists of MNIST digits set on either noisy backgrounds, with noise a Gaussian random variable, or MNIST digits set on a more naturalistic background from the CIFAR-10 dataset. A parameter that makes the task more difficult is digit transparency; as we increase transparency, the background interferes with the digit and the identity of the digit becomes more ambiguous. The goal is to perform image classification so that neural networks (NN) correctly identify the MNIST digit despite the different backgrounds.