Inquiry: Fast method for classifying faces in a group of photos

I hope this message finds you well.
I have a question regarding the capabilities of CompreFace and I would appreciate your assistance. I am currently looking for a fast method to classify faces in a group of photos, where similar faces are labeled with the same tag. The tags can be initially random and can be modified later. I have already utilized the CompreFace DetectionFace method to extract thumbnails and embedding datasets for each face in the photos.

Now, I am wondering how I can proceed to classify these photos. I would like to group the photos based on the similarity of the faces. For example, if there are 20 photos in a group and each photo contains 1-3 faces, there are approximately 5 unique faces among the 20 photos. Therefore, I aim to separate the 20 photos into 5 groups.

Could you please let me know if it is possible to achieve this using the existing CompreFace REST API? Your support and guidance in this matter would be greatly appreciated.

Thank you very much.

Start by reviewing the DetectionFace output and the existing CompreFace REST API capabilities for face embeddings and similarity searches. Done would require a documented, actionable path for grouping photos by similar faces, or a clearly scoped feature request if the API does not support it.

Written by the indexing model from the issue text.