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hugochan avatar hugochan commented on August 16, 2024

@abhinavvadrevu What you suggested is an interesting point. However, I don't think that paper considered either device type or orientation and there is no such information in the dataset. I suggest you to talk to the authors of the paper for more information.

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abhinavvadrevu avatar abhinavvadrevu commented on August 16, 2024

Ah, thanks @hugochan! Another quick question: The paper used 224x224 images for the face and eyes, but your implementation is 64x64. Did you compress the original dataset and find that accuracy was not affected?

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hugochan avatar hugochan commented on August 16, 2024

@abhinavvadrevu Due to the limitation of computation power, a much smaller dataset was used. You can download the original dataset here.

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abhinavvadrevu avatar abhinavvadrevu commented on August 16, 2024

Ah, gotcha. I thought you meant fewer samples when you said "smaller dataset" in the README - not smaller images.

So have you found that the performance is significantly worse with smaller images? I ask because I'm considering retraining with the original dataset (I'll only do it if there's a significant performance boost in doing that!)

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hugochan avatar hugochan commented on August 16, 2024

@abhinavvadrevu Sorry, I don't have the comparison results. But it is worth a try.

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abhinavvadrevu avatar abhinavvadrevu commented on August 16, 2024

No worries, I'll let you know what I find!

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