Find family ancesters with face reconigition

Mining the Data for “Lisa”
  1. Ethnicity Detection & Diversity Recognition
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You can select all their names and it will only show photos that include all those selected persons.

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  2. Legacy News: New Bonus Webinar - Facial Recognition Tools for the Genealogist by Maureen Taylor;
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  4. Identifying Family Photographs.

Taking it even further, if you want to find say photos at a beach with said person You can select their name and the tag "beach", and so long as you've tagged all the photos with enough metadata, any photos tagged as a "beach" and include that person will appear.

You can also do color searches and such so if you're looking for an old black and white photo of that person, you can combine that too. There are other DAMs out there, but I haven't found many that do facial recognition for some reason. Thank you so much for this in depth answer.

Ethnicity Detection & Diversity Recognition

Specifically, I have a photo of a friend's relative and we do not know who it is. I am trying to determine a name and hoping that perhaps his face is on social media and can be matched. I tried Google images search to no avail and believe digikam sounds terrific but I don't know who the person is so I don't have a name or other photos. I have one grainy photo of him. If you can think of any other website, I would greatly appreciate your help. Gratefully, P.

Episode 31: Finding Rover: Reuniting families through facial recognition for pets

Facebook does facial recognition. It has matched a wedding photo identification to the same person in a picture taken 50 years later.

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Kind of disturbing actually. Cake Day. Looks like you're using new Reddit on an old browser. Continue this thread. For what purpose?

Genealogy website MyHeritage offers low-cost DNA tests | Media | The Guardian

Organizing photos or in hopes of identifying an unknown person? Ethnicity Recognition by Artificial Intelligence is based on a revolutionary technology, which analyzes all your face's features, in a matter of seconds. With a database of over 10 million distinct ethnic features, our app is able to quickly match them with your personal appearance and establish your exact ethnicity.

So with this app, you won't have to ask yourself, "What race do I look like?

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Not really. First of all, DNA Genealogy implies some extensive biological testing and ancestry requires a well-documented family tree. Both methods are extremely time-consuming, costly, and sometimes not very accurate. This face analyzer works in a simpler way. Our tool successfully collects every ethnic feature of your face and with the diversity recognition, it builds an accurate profile. Notice that this is solely related to your physical appearance and it doesn't imply any additional factors.

The result of your ethnicity test will be displayed in percentages and it will reveal some information that will actually surprise you. It's not very common but it is possible and our app will surely identify it if that's the case. Ethnicity Recognition by AI functions on a very innovative technology.

Our app successfully combines the Artificial Intelligence technology with deep learning, which allows the system to constantly collect information and to improve its services based on that. When it comes to the diversity recognition algorithms, every new piece of information helps our system evolve and makes it deliver even more accurate results.

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Our photo ethnicity analyzer is fed up with new information on a daily basis, making sure that it will identify even the most complex ethnicities, without making any confusion. The deep learning technology is even more intriguing, as the system always perfects itself, reviewing the previously analyzed photos and learning from its past mistakes.

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By confronting the past and the current results, the system is able to establish its margin of error, fix it and apply this for every new analyzed photo. Deep learning offers a variety of benefits to artificial intelligence algorithms. Essentially, it is the process of continually feeding new information into an artificial intelligence system and increasing the amount of information in the databases used for many purposes, including mapping the history of and guiding the predictions of an artificial intelligence system. For facial recognition systems, this new information is used to evolve the artificial intelligence algorithms that help determine accurate facial points.