This face search engine anyone can use is amazingly accurate

Facial recognition software, previously only used in science fiction, is now an everyday part of our lives. We use it to unlock our phones, verify our identities online and even get through the airport faster.

Though useful, this tech can be utilized without your permission, as seen in a recent $650 million class-action lawsuit against Facebook. The social network used facial recognition to suggest photo tags, which broke a privacy law. Tap or click here to see if you can expect a settlement check in the mail.

Like it or not, your face is out there on the internet. If you’ve ever uploaded photos to social media or any other website, there’s a good chance your likeness is floating around. And one facial recognition site is gaining popularity for making it easy to find photos of a person across the web.

Warning: You may see some blurred images from adult content when using PimEyes.

Here’s how it works

PimEyes uses facial recognition, artificial intelligence and machine learning to perform a reverse image search. Simply upload a photo of a person and you’ll come across more photos of them. Of course, you’ll probably also see photos of people who look like that person. No technology is perfect after all.

photos of Kim Komando

pimeyes.com

PimEyes launched in 2017 and describes itself as “a great tool to audit copyright infringement.” Regarding scammers, hackers and identity thieves, the site claims it gives users “the tools to take action against their abusers.”

While the idea of searching for people using their images sounds creepy, this tool can be useful. You can upload photos of yourself and find images across the internet. This can help you determine if your image is being used online without your permission.

You can then track down your face and request your image be taken down. It may not be easy, but at least you’ll know where to begin.

Related: Delete your selfies from ID.me – You don’t need this to do your taxes

More than just a reverse image search

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