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DCGAN (Deep Convolutional Generative Adversarial Network) custom architecture builder and image synthesizer to specify the architecture of the generator and discriminator, visualize the models, train the GAN, synthesize images, and analyze synthetic imagery losslessly visualized.
This research introduces PotatoGANs, a novel data augmentation technique using GANs to generate synthetic potato disease images, improving model generalization in agricultural disease segmentation