African MNIST
Wu et al. (2020) present four variations of the popular MNIST digit recognition for “our orthographies used in Afro-Asiatic and Niger-Congo languages: Ge`ez (Ethiopic), Vai, Osmanya, and N’Ko.” They’re formatted so that they can be used as drop-in replacement for any existing MNIST model, and the authors show that LeNet achieves similar classification accuracies to classic MNIST on each of the new datasets. The data is open-source at Daniel-Wu/AfroMNIST.