GitHub / mansipatel2508 / Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison

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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Topics: ai, binary-classification, binary-image, cnn-keras, computer-vision-opencv, data-visualization, feature-extraction, image-classfication, image-data-generator, image-handle, image-preprocessing, image-processing, imread, kernel, model-evaluation, opencv-python, pickle, pylab, robotics

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