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
-
Updated
Aug 10, 2019 - Jupyter Notebook