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Finally, an AI that can reliably catch Faked photos


Fake images are not infrequent yet they are still in the market. Photoshop can deliver a different picture to the digital era. Now artificial intelligence is ready to lend counterfeit visuals to photographers the level of a new sophistication.

Thanks to the artificial neural network, the algorithm can analyze millions of pictures of real people and places and use them to create convincing fiction. Reverse image search, a technology incubator on the internet, has released an experimental platform to help people quickly verify photos.

How does the technology work?

Reverse image search combines several techniques to detect device manipulation criteria for photos. It includes changing the brightness of the picture and attaching pixels while maintaining the same visual texture.

A reverse image search tool also includes detectors in the type made using styling, algorithms that can produce realistic imaginary faces. This detection technique feeds into a master model that tells us, users, how likely the photo has been manipulated.

Why is it essential to detect photos?

Fake images are more difficult things to be verified, especially with the emergence of manipulation by artificial intelligence. The window of opportunities for journalists and checker facts to react also shrink quickly because the disinformation spread at speed and scale.

Reverse image search is a good step in fighting manipulated media. But does not cover many other existing manipulation techniques, including those used for videos; which need to be added and updated as technology continues to grow.

It is also still there as a different platform of channels where people have usually distributed images. Experts recommend that tech giants like these photo search technologies combine this type of detection directly to their platform. Thus the check can be done in real-time because photos and videos are uploaded and shared.

There are other approaches to consider too. Some startups are pursuing verification technology, such as memorizing the pixel position in the photo at their first. But reverse image search also equips this with a challenge.

Improvements in Artificial Intelligence

Advancements in artificial intelligence (AI) mean it is easier to find out fake images, videos, and phony sound recordings. There is a lot of false information about social media whereas people broadly divide many problems. They are used to getting news that matches the way they see the world.

All of these things make it more difficult to believe what we see and hear things over the internet. But there are certain things and tools like reverse image search that we can try to protect ourselves. And can identify fake and original images. Here are some tips for protecting yourself from getting into the trap of forged pictures:

1. Check whether the photo has proven false

Many fake images are displayed repeatedly. Many of them have proven wrong. You can do a reverse image search to find out. It will check through an extensive database to see where the image has been used before. If a picture search tool doesn't find a picture, then it may be the original one.

2. Check picture Metadata

Metadata is data about the picture that augments the do search for. Every digital image has specific metadata. Reverse image search can also inform your settings on the camera, the date and time they took the photo, and the GPS's location where the image is taken. Some metadata tags will notify you about the camera settings used to take pictures.

3. Figure out what can and cannot be faked

When you see pictures or videos, you need to know what original and fake are. You can easily falsify photos of two people standing side by side by connecting two separate images. The same applies to pictures of sharks besides the swimmer.

But the description of two people who embrace is much more difficult because you have to touch each other. That is not possible in images. Hence reverse image search and improvements through AI can help a lot to identify falsification.

4. Fight against the fake

Photos and fake videos have resulted in terrible violence, changing the results of elections, and many other problems. With all the phony information online today, anyone can say that news is "fake news" if they disagree with it. So you see if you want a fair society and surroundings you need to search for fake images.


It's time for big companies to start taking fake image problems seriously. Finally, stories that make extraordinary statements need to have evidence to support it. Do your best to check the facts from other places you trust. And if you are unsure about stories, videos, or pictures, don't share them.

In the end, technical improvements will not be enough. One of the most challenging aspects of fakery is not a fake picture itself. Instead, that's the idea that they are there, which can be easily called to doubt the media truths. It is a type of challenge that will require modern solutions such as reverse image search tools too.

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