This study offers interesting insights into humans' detection capabilities of synthetic face images and their aptitude for learning to distinguish real face images from synthetic ones. Figure 1.

Build a face detection system using OpenCV’s Haar cascades or deep learning models like dlib or MTCNN. Libraries: opencv, dlib, tensorflow, keras Skills: Computer vision, image processing, real-time ...

Face detection and picture or video recognition is a popular subject of research on biometrics. Face recognition in a real-time setting has an exciting area and a rapidly growing challenge. Framework ...

This is a Python 3 based project to perform fast & accurate face detection with OpenCV face detection to videos, video streams, and webcams using a pre-trained deep learning face detector model ...