The ML models for Face Analysis are in charge of extracting features from the face of a person which can be used to profile it.
For this reason MuseBox is able to analyze the main characteristics of a person, such as its age, ornaments, expressions and face characteristics (i.e. how the eyes are).
Those analytics can be used in various applications where the analysis of the main features of the different people are very important. Possible applications are (in combination with the other components of MuseBox):
Face Detection
It detects the faces in a scene up to 32×32 pixel
Face Landmarking
Given a face bounding box, it extracts the 98 relevant points of a faceÂ
Face Recognition
Given a face bounding box and a database of faces, it recognizes a face in a scene
Face Recognition with Mask
Given a face bounding box and a database of faces, it recognizes a face in a scene
Glasses Detection
Given a face bounding box, it detects whether a person wear glasses or not
Gender Detection
Given a face bounding box, it determines if the person is female or male
Eyes and Blinking Detection
Given a face bounding box, it detects where are the eyes and it determines if they are blinking or not
Age Detection
Given a face bounding box, it determines the age of a person (do not use with girls or at least try to use our gender detector first to be sure 🙂 )
Emotion Detection
Given a face bounding box, it determines the emotion of a person (neutral, happy, sad, angry, surprise)