Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
mansipatel2508
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
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4 data points · 2021-08-06 → 2022-05-18How do you feel about this project?
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Question copied to clipboardWhat is the mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison GitHub project? Description: "The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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