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Currently when bulk uploading around 300 images the person categorisation ends up with multiples of the same person - more if it's a baby/child.
I think there may be a clever way to use the face matches of all faces in person A to see if there is a certain level of similarity to the face matches of all faces in person B.
This could be a cron job lambda. It could prompt the user to merge people or if above a certain confidence level, do it automagically in the background.
The text was updated successfully, but these errors were encountered:
Currently when bulk uploading around 300 images the person categorisation ends up with multiples of the same person - more if it's a baby/child.
I think there may be a clever way to use the face matches of all faces in person A to see if there is a certain level of similarity to the face matches of all faces in person B.
This could be a cron job lambda. It could prompt the user to merge people or if above a certain confidence level, do it automagically in the background.
The text was updated successfully, but these errors were encountered: