comofod

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AKASH2907 / Forgery-Classification-via-Domain-Adaptation

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

keras feature-extraction classification ddc unsupervised-learning casia coco-dataset unsupervised-domain-adaptation dann coco-image-dataset forged-images classifying-forged forgery-classification comofod

Updated May 6, 2020
Python

madhurimarawat / Copy-Move-Forgery-Detection

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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.

python machine-learning deep-learning jupyter-notebook image-processing dataset-description comofod data-preprocessing-and-cleaning comofod-dataset

Updated Feb 19, 2026
Jupyter Notebook

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