Kaggle Competition and Tutorial: Facial Keypoints Detection
Identify the key points in facial images that vary by many different factors. This competition also provides a benchmark dataset and R Tutorial to get going on facial image analysis.
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
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 oppurtunities for improvement.
This getting-started competition provides a benchmark data set
and an R tutorial to get going on analysing face images.
Participate and learn more at