The technology behind Fetch has actually been in development for years. In July 2014, Microsoft demonstrated how machines could tell the difference between people and dogs at the 15th annual Microsoft Research Faculty Summit. The team later released the website What-Dog.net, but says the app is where the most progress is really apparent.
The results Fetch presents can then be shared via social networks and email, so all your friends can comment on your doggie match. You can also save your favorites in an included scrapbook or browse the list of breeds included in the app which contain details like size, coat, disposition, and more.
I think I’m okay with being called a Maltese, but I’m fairly certain my 49-pound mutt is not a Chihuahua, though.
Even Microsoft’s new recognition app has no idea what kind of dog I have. Oh well! If you don’t own a mixed-breed mutt saved from the kill shelter, however, you might have fun with the company’s latest Microsoft Garage project: Fetch!, a new iPhone app that looks at photos of dogs to identify its breed. Or, in the case when it can’t make an exact match, the app will show you a percentage of the closest match.
“…there is very advanced work underway at Microsoft in this area, which are able to take apart subtle differences, even when breeds look similar or through the many different colors within breeds,” explains Mitch Goldberg, a development director at Microsoft Research in Cambridge, U.K based team built the experience.
In addition to identifying dogs, the app will also analyze s of humans (there is a selfie option) and identify which breed they would be.
A new app called Fetch! uses artificial intelligence to analyze and identify a dog by its breed using a smartphone camera or photo library. The app, released through Microsoft Garage, is available for free in the App Store and through What-Dog.net.
“Its a lot of fun to be able to classify so many different dog breeds correctly,” Goldberg said. “But its also fun to see what someones inner dog is.”
“Anybody can benefit from understanding what a particular breed is all about and what kind of lifestyle would be best suited for that breed.”
“Its about bringing artificial intelligence to the canine world,” Mitch Goldberg, development director at Microsoft Research said. “Computers have been able to hear and talk, and now they can see.”
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hey say dogs look like their owners, but now non-pooch owning smartphone users can find out exactly what breed they share a similarity with.
Microsoft has launched a new app called Fetch!, that will scan your face and match you to your doggy doppelganger – letting you share you results to social media.
“This is the kind of app youre going to take out when youre with your friends,” its description reads. “Youll make fun of each other, comparing which breeds you look like, and posting the tagged photos.”
If you spot an adorable dog on the street and are desperate to identify its breed, the app can also use a photo snapped by the user to identify the pups breed to the best of its ability.
Development director at Microsoft Research, Mitch Goldberg, explained that his team wanted to create an app that makes object recognition “extraordinary, fun and surprising.” He added, “We wanted to bring artificial intelligence to the canine world. We wanted to show that object recognition is something anyone could understand and interact with.”
The team has aso developed an accompanying website, What-Dog.net that has photos you can play with to find out about different dog breeds, and you can also submit your own photos and share them.
Already the new tool is being praised by users over social media for it’s uncanny accuracy, not just for themselves, but also for many high-profile celebrities and politicians that have been subjected to the Fetch! treatment.
Fetch! is designed for repeat use, and users can get rather addicted to matching various photos of themselves and their friends to huge variety of dog breeds.
So whether youre a dog lover or more of a cat person, one things for sure: youll be seeing plenty more Fetch results in your Facebook feed over the coming weeks.
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A Phone App Translates My Husky Speaking! Testing Dog Translators!
Even Microsoft’s new recognition app has no idea what kind of dog I have. Oh well! If you don’t own a mixed-breed mutt saved from the kill shelter, however, you might have fun with the company’s latest Microsoft Garage project: Fetch!, a new iPhone app that looks at photos of dogs to identify its breed. Or, in the case when it can’t make an exact match, the app will show you a percentage of the closest match.
The app is the latest in a series of fun projects that are meant to highlight machine learning’s potential. In this case, that’s the ability to look at an and make some sort of determination about its contents – basically, it’s teaching machines to make the sort of intuitive leaps that people naturally do.
As Fetch proves, this process is actually harder than it looks. People can easily put together different pieces of information on the fly to make an educated guess about something like a dog’s breed, but machines have to be taught using a combination of correct s, expert data about breeds, and machine intelligence.
“…there is very advanced work underway at Microsoft in this area, which are able to take apart subtle differences, even when breeds look similar or through the many different colors within breeds,” explains Mitch Goldberg, a development director at Microsoft Research in Cambridge, U.K based team built the experience.
“Every time we add more, that’s the beauty of the deep neural network in understanding new, unique breeds. This is a really complex problem.”
Fetch, in fact, is the latest in a series of releases from Microsoft that try to make understanding the complexities of machine learning more accessible to the mainstream user.
The technology behind Fetch has actually been in development for years. In July 2014, Microsoft demonstrated how machines could tell the difference between people and dogs at the 15th annual Microsoft Research Faculty Summit. The team later released the website What-Dog.net, but says the app is where the most progress is really apparent.
According to Microsoft’s announcement, the iOS app was released just in time for the American Kennel Club’s Meet & Compete and the Westminster Kennel Club Dog Show, and demonstrates a different time of machine learning capability.
Instead of examining photos of humans, Fetch tries to figure out what sort of dog breed is represented in a photo.
“There was an interest in creating a framework that would allow you to take a domain – in our case, dogs – and recognize numerous classes, such as breeds. We were interested in enabling an app to allow you to make object recognition extraordinary, fun and surprising,” says Goldberg.
To use the app, you simply show it a picture of a dog and it returns the breed. If there’s no dog in the photo, it says…”No dogs found!” But it also might guess what the photo is of, instead. (e.g. “This looks more like…flower?”)
There’s also a pretty hilarious hidden mode where you show the app a picture of a friend, and it will tell you what type of dog it thinks that person is…which, you know, can be quite insightful.
The results Fetch presents can then be shared via social networks and email, so all your friends can comment on your doggie match. You can also save your favorites in an included scrapbook or browse the list of breeds included in the app which contain details like size, coat, disposition, and more.
I think I’m okay with being called a Maltese, but I’m fairly certain my 49-pound mutt is not a Chihuahua, though.