anyone suggest what are the merits and demerits of GAN and classical data augmentation in plant leaf disease detection and classification systems
If your dataset is big enough (100-200+ pictures per category), classical data augmentation should be more than sufficient.
With smaller datasets, a GAN may prove useful. However, the output images must mimic the disease of the leaves accurately. This could prove to be tricky with high resolution images. Cheers, Raoul
Have a look at Article A survey on Image Data Augmentation for Deep Learning
andArticle Applications of Generative Adversarial Networks (GANs): An U...
GAN seems more artificial and classical data augmentation is natural, I am not sure how the machine takes this, but I think using GAN is something like we are depending on more artificial data to create an artificial machine.
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