Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Sketch-a-net can identify that drawing better than you can

Add as a preferred source on Google

It’s like Spotify, only for images. That seems to be the guiding principle behind Sketch-a-net, a new computer program that claims to yield “sketch recognition performance surpassing that of humans.” According to scientists from Queen Mary University of London, a new deep neural network that mimics (and purportedly surpasses) the behavior of the human brain, is able to correctly identify the objects drawn in human sketches 74.9 percent of the time. In comparison, humans are able to guess correctly just 73.1 percent of the time. While the margin of difference may not be all that substantial, it is interesting to note that the computers are doing it better than we are, even though the drawings are human-generated.

And when asked to distinguish objects at a higher level of detail, Sketch-a-net really set itself apart from humans, correctly differentiating among seagulls, flying birds, standing birds, and pigeons 42.5 percent of the time. Humans, on the other hand, were only correct 24.8 percent of the time. And as this technology becomes more and more robust, researchers say that it could be combined with existing touchscreen capacities to create more precise search results — after all, sometimes, showing really is better than telling (or in this case, drawing is better than typing).

Recommended Videos

According to researchers, part of the computer program’s success comes from its ability to identify the order in which the strokes in a drawing were made. As a result, if you’re a particularly erratic sketcher (or an abstract artist), the computer may meet with less success. Researchers also note that their use of “a network architecture designed for sketch rather than natural photo statistics” helped them achieve great success in identification.

Study co-author Dr. Timothy Hospedales told GizMag, “It’s exciting that our computer program can solve the task even better than humans can. Sketches are an interesting area to study because they have been used since prehistoric times for communication and now, with the increase in use of touchscreens, they are becoming a much more common communication tool again.”

So the next time you play Pictionary, consider bringing a computer into the fold. It may wind up beating all your human friends.

Lulu Chang
Fascinated by the effects of technology on human interaction, Lulu believes that if her parents can use your new app…
Google’s new AI gives robots better balance, smarter hands, and teamwork capabilities
Google just made robots a lot less clumsy and a lot more helpful.
Gemini robotics 2.0

Google DeepMind just brought sci-fi robots closer to reality, and it is very exciting. Building on its original Gemini Robotics model, the company has introduced Gemini Robotics 2, an AI system designed to help robots think, move, and even work together. Unlike most robots today, which rely on pre-programmed routines or someone controlling them remotely, this new system lets robots figure things out on their own when situations get unpredictable.

Can robots finally handle whole-body tasks?

Read more
Remember Samsung’s Ballie home robot? It may finally be inching closer to reality
Leaked app wireframes give the strongest hint yet that Samsung's Ballie home robot, first shown at CES 2020, might still be headed toward an actual release.
Samsung Ballie robot in a room next to a dog feeder.

Samsung's rolling home robot has been the industry's longest-running "will it ever actually ship" joke, and I'll admit I'd mostly given up on it. Now, there's finally a glimmer of hope.

Samsung first unveiled Ballie as a concept at CES 2020. Then, it showed it as a significantly upgraded version four years later. However, the company never confirmed a release date or committed to releasing it at all. 

Read more
Polar is yet another AI browser, but it goes beyond just automating the mundane web chores
Polar wants to turn your browser into an AI-powered productivity tool
Polar AI browser

The AI browser race is entering a new phase. After spending much of 2025 trying to reinvent web search with built-in chatbots, startups are increasingly shifting their attention toward browser agents that can automate repetitive work instead of simply answering questions. The latest company to embrace that transition is Polar, a startup founded by former Perplexity engineer Kevin Zhang, which has raised $5.7 million in seed funding led by Madrona.

Unlike the first generation of AI browsers that targeted everyday consumers, Polar is designed specifically for knowledge workers. Its premise is straightforward: instead of replacing Google Search, the browser aims to eliminate repetitive tasks that professionals perform across dozens of browser tabs every day.

Read more