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I've been reading a lot of papers regarding FID in terms of "number of samples", without really clarifying if that applies to the fake samples from the generator, the real samples, the sum, the same number for both, etc.
When you say "number of samples" or sample size, which one is it? Because I am currently generating fake samples from a very small dataset (300 images) and I want to calculate the FID between the 300 real images and fake images, but I am not sure how many samples to use. The logic tells me that I should use the same number of samples for both real and fake images but that may cause calculation problems.
Thank you in advance.
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