Hi, I’m using recognize and memories apps from a couple of months now, using face recognitions and clustering on a repository of around 50K pictures. It works pretty well! Thanks!
What would be the good way to manage “people from the crowd” ?
For now, when I manualy review the pictures of a selected known cluster/people, I move pictures with unknown people to a dedicated cluster/people named “crowd”.
Does this practice not risk biasing the clustering function which would end up associating every picture to this “crowd” cluster/people?
Thanks again for this awesome work!