jakesnell/prototypical-networks

Rotate four angles. Are these photos in four categories

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Why is it necessary to rotate each type of photo at different angles in the experiment? Are these photos in four categories?

I think that, since the omniglot dataset was created by 20 different people and every character has 20 examples, we need more of them. So we do a simple augmentation by rotating 3 more times by 90 degrees.
On top of that, using 5-shot 15-query you always use all the examples in each iteration, so it's not perfect.

In my own implementation i describe that: https://github.com/fabian57fabian/prototypical-networks-few-shot-learning