Amazon Rekognition improves face search accuracy with user vectors

Today, AWS launched a new capability that significantly improves face search accuracy by leveraging multiple face images of a user. Currently, Amazon Rekognition allows customers to search users represented by individual face vectors. Face vectors are mathematical representations of faces from images. Now, customers can create user vectors, which aggregate multiple face vectors of the same user. User vectors offer higher face search accuracy with more robust depictions, as they contain varying degrees of lighting, sharpness, pose, appearance, etc.

Source:: Amazon AWS