This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program

Facial keypoints detection using 15 landmark points on human face

Built a Facial Keypoints Detection Model using a Convolutional Neural Network(CNN) that takes in any image with faces, predicts the location of 68 distinguishing Keypoints on each face and marks them at correct position on the face. Facial keypoints include points around the eyes, nose, and mouth on a face

Combine computer vision techniques and deep learning architectures to build a facial keypoint detection system.

Facial Keypoint Recognition in Pytorch

facial key-points detecion (eyes, nose, mouth, etc) based on deep learning and computer vision techniques (CNN & OPENCV)

keypoints detection around the face for better face detection and face recognition.

Some projects that i have done in my free time

Facial Keypoint Detection project for Computer Vision Nanodegree.

PyTorch implementation of training CNNs (VGG-16) for Facial key point detection

Facial keypoint detection that takes in any image with facees

Build an AI Sleep Detector in Less than 60 minutes using Tensorflow-JS

Built an end-to-end facial keypoint recognition system. Facial keypoints include points around the eyes, nose, and mouth on any face and are used in many applications, from facial tracking to emotion recognition. The completed project takes in any image containing faces and identifies the location of each face and their facial keypoints.