I have photos/videos that contain a particular person such as my mother or father which I cannot even find because of the tens of thousands of other unorganized photos mixed in. I'd like to run a facial recognition software on my photos/videos folder to find particular people that I can mark in the metadata similar to how Facebook implants/identifies particular people in photos and the location/date the photo/video was taken if available etc then I can do more precise search of my photo/videos folder containing particular people (ie can create a database of known faces/names and run a script that identifies file to contain only 1 or multiple known people and marks them as such for easy searching).
A program like this would be a game changer for people consolidating/organizing family photos/videos if you could combine all your files into a folder create a face/name database of known people and then run a script bam implant the names of people into the files metadata, decades of memories organized and easily searched.
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DAM = digital asset management
Facial recognition DAM
like many expensive softwares maybe a copycat freeware version can be made for personal use family photos/videos maybe the AI not as perfect and may miss identifying a few lesser quality/matches to given baseline photo.
I was really hoping considering the personal use/benefit it would have one day in the near future we may see something catered towards that crowd rather than corporate/legal uses.
If an aspiring programmer was looking for a project that could be helpful to their resume and can get their hands on a basic for personal use non proprietary facial recognition algorithm program a fairly basic ui think it would be worth it, food for thought
Last edited by imaginethat; 9th Jan 2022 at 17:25.
Last edited by Alwyn; 10th Jan 2022 at 05:55.
Apple seems to do it as well https://support.apple.com/en-us/HT207103
Some other: https://softwarerecs.stackexchange.com/questions/26623/open-source-image-organiser-wit...-picasa-with-o
Last edited by emcodem; 10th Jan 2022 at 17:54.