torchvision supports various datasets and one of them is fakedata
dataset. I was curious what this actually generated and here is an example
import torchvision, torch torch.seed() d = torchvision.datasets.FakeData(10, (3, 50,50), 4) print(len(d)) print(d[0]) a = d[0][0] c = d[0][1] print(c) a.save('test.png') """ output: 10 (<PIL.Image.Image image mode=RGB size=50x50 at 0x7F06F462F050>, tensor(2)) tensor(2) """

the result is just an random RGB noised image.
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