Can you imagine a model that performs very poorly on MNIST that would perform well in real-world computer visions problems? If you can't, then MNIST is a nice

Can you imagine a model that performs very poorly on MNIST that would perform well in real-world computer visions problems? If you can't, then MNIST is a nice simple smoke test when assessing models.