👀 The objective of this project is to predict keypoint positions on face images.
Detecing facial keypoints is a very challenging problem. Facial features vary greatly from one individual to another, and even for a single individual, there is a large amount of variation due to 3D pose, size, position, viewing angle, and illumination conditions. Computer vision research has come a long way in addressing these difficulties, but there remain many opportunities for improvement. The objective of this task is to predict keypoint positions on face images. This can be used as a building block in several applications, such as:
- tracking faces in images and video
- analysing facial expressions
- detecting dysmorphic facial signs for medical diagnosis
- biometrics / face recognition
For more information visit Kaggle competition website.