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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.
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