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
ai kernel robotics image-processing data-visualization feature-extraction pickle pylab opencv-python cnn-keras binary-classification model-evaluation binary-image image-preprocessing image-handle imread image-classfication computer-vision-opencv image-data-generator
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Updated
Aug 10, 2019 - Jupyter Notebook