> To use people's random images for training, they would have to be manually annotated by a human (e.g. facial boxes, eyes, nose, mouth, ears drawn in).
That's not true. There is a large and growing body of research on semi-supervised, self-supervised, and unsupervised learning that can take advantage of these unlabelled images.
That's not true. There is a large and growing body of research on semi-supervised, self-supervised, and unsupervised learning that can take advantage of these unlabelled images.