Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings

This project focuses on detecting and localizing copy-move forgery in digital images using Python. Deep learning techniques are applied to identify duplicated regions within an image. The model highlights tampered areas, helping verify the image's authenticity.