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[D] About data augmentation (alien.top)

submitted 1 year ago by Cautious_Employer298@alien.top to c/machinelearning@academy.garden

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I have an assignment where we have to use DCGAN to generate images of a bus. But the dataset they have given, on purpose has very less images (108) and the images also have very low light (taken at night). I tried to train using a very simple architecture, but even after 1000 epochs, the images are not meaningful. What can I do to increase the lighting, and what type of data augmentation technique should I use?

The dataset given to me

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[–] Infamous-Bank-7739@alien.top 1 points 1 year ago (1 children)

Note that 108 is a very small set. Considering transfering a pre-learned net or other means.

But to answer your question: I've had good success with DiffAug. It's quite straightforward to implement as well. ADA is another popular one that is bit more complex.

[–] Cautious_Employer298@alien.top 1 points 1 year ago

interesting, thanks