Detection of face Manipulated Videos using Deep Learning

Faceforensics data was collected by Visual Computing Group which an active research group on computer vision, computer graphics, and machine learning. This data contains 1000 pristine (real) videos that are selectively downloaded from YouTube such that all videos have clear face visibility (videos that are mostly like news-readers reading news). These pristine videos are manipulated by using 3 state-of-art video manipulation techniques such as DeepFakes, FaceSwap, Face2Face.To understand more about the data please refer to this paper. I have downloaded a total of 100 raw videos (49real 51 fake) covering all the categories and these videos are extracted into images. To download and extract the images please go through this Github page and read the instructions carefully. Before building any Machine learning/ Deep learning models we need to understand the data with some Data Analysis. Let's get an idea of how this data is organized: