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Meta Shares its Latest Advances in Automated Object Identification, a Key Development in its AR Push

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Meta Shares its Latest Advances in Automated Object Identification, a Key Development in its AR Push


Meta has outlined its latest advances in automated object identification within images, with its updated SEER system now, according to Meta, the largest and most advanced computer vision model available.

SEER – which is a derivative of ‘self-supervised’ – is able to learn from any random group of images on the internet, without the need for manual curation and labeling, which accelerates its capacity to identify a wide array of different objects within a frame, and it’s now able to outperform the leading industry standard computer vision systems in terms of accuracy.

And it’s only getting better. The original version of SEER, which was initially announced by Meta last year, was built on a model of over 1 billion images. This new version is now 10x the scope.

As explained by Meta:

When we first announced SEER last spring, it outperformed state-of-the-art systems, demonstrating that self-supervised learning can excel at computer vision tasks in real world settings. We’ve now scaled SEER from 1 billion to 10 billion dense parameters, making it to our knowledge the largest dense computer vision model of its kind.”

Of particular note is the system’s capacity to identify different images of different people and cultures, while it’s also able to assign meaning and interpretation to objects from varying global regions.

Traditional computer vision systems are trained primarily on examples from the U.S. and wealthy countries in Europe, so they often don’t work well for images from other places with different socioeconomic characteristics. But SEER delivers strong results for images from all around the globe – including non-U.S. and non-Europe regions with a wide range of income levels.”

That’s significant, because it’ll expand the system’s understanding of different objects and uses, which can then help to improve accuracy, and provide better automated descriptions of what’s in a frame. That can then provide more context for visually impaired users, along with product identification matching, signage signals, branding alerts, etc.

Meta also notes that the system is a key component of its next shift. 

Advancing computer vision is an important part of building the Metaverse. For example, to build AR glasses that can guide you to your misplaced keys or show you how to make a favorite recipe, we will need machines that understand the visual world as people do. They will need to work well in kitchens not just in Kansas and Kyoto but also in Kuala Lumpur, Kinshasa, and myriad other places around the world. This means recognizing all the different variations of everyday objects like house keys or stoves or spices. SEER breaks new ground in achieving this robust performance.

Meta’s been working on improved object identification for years, and has made significant advances in terms of automated captions, reader descriptions and more.

Facebook image recongnition example

It’s also working on identifying objects within video, the next stage. And while that’s not a viable option as yet, it could, eventually, lead to all new data insights, by enabling you to learn more about what each individual user posts about, and how to reach them with your promotions.

Even right now, this can be valuable. If you knew, for example, that a certain subset of users on Instagram were more likely to post a picture of their meal, based on previous posting patterns, that could help in your ad targeting. Extrapolate that to any subject, with a high degree of accuracy in data matching, and that could be a great way to generate maximum value from your ad approach.

And that’s before, as Meta notes, considering the advanced applications in AR overlays, or in improving its video algorithms to show people more of the content they’re more likely to engage with, based on what’s actually in each frame.

The next stage is coming, and systems like this will underpin major shifts in online connectivity.

You can read more about Meta’s SEER system here.



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Pig butchering and the other peculiar cyber-scams on the rise

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Pig butchering and the other peculiar cyber-scams on the rise

Pointing to a computer screen. Image by Tim Sandle.

The countdown to holiday period shopping is on. While sales are up, so are risks. Barclay’s estimate a 70 percent increase in scams the last year. Hence, consumers need to be even more vigilant with the deals they’re seeking out and the websites they are purchasing from.

To help Digital Journal  readers be more mindful as to the key risk factors, James Walker, CEO at Rightly, explains the main issues. This includes an uptick in recent ‘brushing scams’ and fake reviews, as well as further details around other types of scams to watch out for.

Walker sees this period of time as providing ample situations for “Fraudsters to take advantage of innocent consumers. There are multiple tactics scammers use to convince people to part with their money, particularly in the run-up to a day which promises huge savings. One scam in particular we’ve been seeing an increase in is the so-called brushing scam in the lead up to the festive season, which involves unsuspecting people receiving unsolicited deliveries.”

Expanding on the strange deliveries, Walker says: “If you receive an unexpected package, it may be a scam that online sellers use to falsely inflate ratings and post fake reviews, and may mean your personal data has been compromised. If you have received an unexpected package from a company such as Amazon and suspect it to be a brushing scam, contact customer support directly. They can tell you whether your real account has been compromised and will cancel the fake account. The same goes for other marketplaces like eBay.”

Expanding on this tactic, Walker explains: “Unfortunately, such scams have also led to significant increase in fake reviews on Amazon, with an estimated 61 percent of all reviews classified as fake as fraudulent sellers try to manipulate buyers into making a purchase. Always be cautious when buying online and do as much background research as possible on a company or product before buying anything.”

Among the most prevalent scams, Walker cites:

Social media scams

This is where scammers take over your social profile, gaining access to influence your friends and family. But this is only the start of taking over someone’s life, this can lead to the opening of bank accounts and creating fake identities in your name.

Burner businesses

This is when scammers buy a company for a reasonable amount and appear to trade, genuinely selling goods and services. They build up lots of sales, and then when the time is right, they move the money out and close down the business, leaving people out of pocket and either with fake goods or none at all.

Tickets to events

With the football World Cup taking place, it’s not too surprising to see that ticket scams are on the rise. Ticket selling scams happen when a scammer uses tickets as bait to steal your money. The scammer usually sells fake tickets, or you pay for a ticket, but never receive it. They are common when tickets for popular concerts, plays, and sporting events sell out. Additionally, scam artists purporting to represent musicians or bands have invited promoters to send offers for non-existent tour dates in a phishing email.

Pig butchering

It sounds unpleasant, but so called ‘pig-butchering’ scams are on the rise. These scams happen when someone seemingly friendly and open befriends you online and over time, through a series of conversations, persuades you to part with money. It’s often a little at first, suggesting you put some cash into a ‘too-good-to-be-true’ investment. Only, of course, the investment is a scam and fraudulent.

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