Include a Process to Review or Approve Newly Categorized Faces to an Existing Named Person/Cluster

Describe the feature you'd like to request

Due to the complexity of AI Facial Recognition, and understanding that it will never be perfect, it would be beneficial to have a Review or Approval process when newly categorized faces are added to an existing Named Person/Cluster.

For example. I have a Person that I have edited and renamed as "Brian" instead of the default Cluster ID # 123. This means I know and care about the Person. I have 3,000 images in the Person Cluster named Brian. When faces are detected, categorized as Brian, and added to the Brian cluster (ID # 123), it's very cumbersome and nearly impossible to find this image in the Brian cluster to be sure it was properly categorized. This is especially true if adding older images to Nextcloud, as verifying newer images would be a bit easier but still quite cumbersome.

This type of feature could also be beneficial to https://github.com/nextcloud/recognize/issues/606

Describe the solution you'd like

I want the option to enable a review and/or approval process when new faces are categorized into an already-established Person/Cluster.

Even something as simple as some type of report showing which images were added to which clusters would be helpful so they can be reviewed for accuracy.

Describe alternatives you've considered

Click on the Person I expect an image to be categorized as and carefully review the images to be sure they were categorized properly. If they're not found in the expected cluster, perform the manual review of other existing clusters. Honestly, there is no good alternative for this that I can think of.

The issue names no files, tests, or entry points. Begin by tracing how newly recognized faces are assigned to named clusters and identify where a review workflow or additions report would fit. Done would mean users can review newly added faces for an established person or cluster before accepting them.