Re:Machine Learning
by nl on Wednesday May 17, 2017 @01:15PM
(#14360511)
A single NN can predict more than one class of object. The ImageNet competition has 20,000 classes.
There's also image segmentation as another poster has pointed to.
In the case of FB face tagging, they'd have learn an embedding space for faces, and when a new image comes in they'd place it in the embedding space along with all the person's connections and find the nearest neighbors.
There's also image segmentation as another poster has pointed to.
In the case of FB face tagging, they'd have learn an embedding space for faces, and when a new image comes in they'd place it in the embedding space along with all the person's connections and find the nearest neighbors.
See https://arxiv.org/abs/1503.03832 or the implementation https://cmusatyalab.github.io/openface/