0b01/SimGAN-Captcha
GAN-based approach to solve captchas using synthetic training data generated via adversarial refinement.

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This repository implements SimGAN to solve captchas without requiring manual label collection. It uses a generative adversarial network to refine synthetic captcha images so they resemble real ones, then trains a classifier on the refined synthetic data. The approach leverages Keras for the neural network implementation.