Facial landmarks are used to localize eyes, nose, mouth, jaw, eyebrows, and the face as a whole. They are an important input to many computer vision problems such as facial recognition, driver attention tracking, gaze tracking, etc. The most accurate methods are generally using neural networks trained on datasets such as 300-W, AFLW, WFLW, etc.