This project uses a CNN to predict 68 facial keypoints. Facial keypoints include points around the eyes, nose, and mouth on a face and are used in many applications.

Below you can see an example of the position of the numbered keypoints.

The pretrained CNN was trained with the YouTube faces DB
Here you can see two examples of the predicted

- Notebook 1: Loading and Visualizing the Facial Keypoint Data

- Notebook 2: Defining and Training a Convolutional Neural Network (CNN) to Predict Facial Keypoints

- Notebook 3: Facial Keypoint Detection Using Haar Cascades and your Trained CNN

- Notebook 4: Fun Filters and Keypoint Uses

This project is licensed under the terms of the MIT license.