https://github.com/arsalanzabeeb786/facial-keypoints-detection-using-pytorch

Facial Keypoint Detection using PyTorch and a modified VGG16 architecture. This project identifies 68 facial landmarks—covering eyes, nose, mouth, jawline, and eyebrows—on human faces. The model is trained on normalized keypoints with adaptive pooling, custom dataset handling, and transfer learning.

computervision deeplearning facedetection facialkeypointdetection faciallandmarks imageprocessing keypointregression pytorch transferlearning vgg16

Last synced: 30 Apr 2026