I am currently evaluating capabilities of IBM Watson Visual Recognition service to recognize faces. So that System should identify the each person that we have trained. Individuals may come with different clothes, and other possible variations. But system should identify each individual by looking at each face.
As per IBM, IBM visual recognition do not support face recognition but only face detection.
Face Recognition: Visual Recognition is capable of face detection (detecting the presence of faces) not face recognition (identifying individuals).
Can we use the custom classifiers by adding different types of images for each individuals?
What is the significant pre/post-work from the developer to get at least 90% accuracy ?