Sometimes drawing a quick sketch is easier than using text to describe a particular product you have in mind. Researchers at Queen Mary University of London created a tool that recognizes hand-drawn sketches on a smartphone or tablet and uses them to search for products online.
Using two Tesla K80 GPUs and the cuDNN-accelerated Caffe deep learning framework to train their convolutional neural network, their new “Sketch” recognition system achieved 97.94% accuracy in matching shoes and chairs.
“Sketch is a very flexible tool,” co-developer Yi-Zhe Song said. “For example, you might see a pair of shoes that you like, but not approve of every detail of them — such as the buckle or the heel. In that case, you can draw the shoe you would like to see — and then let the computer search for the closest possible match.”
The researchers are talking with online retailers and hope their technology will be used in the online marketplace within six months.
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Using Sketches to Search for Products Online
Jul 13, 2016
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AI-Generated Summary
- Researchers at Queen Mary University of London have developed a tool that uses hand-drawn sketches on smartphones or tablets to search for products online.
- The "Sketch" recognition system, trained using NVIDIA's cuDNN-accelerated Caffe deep learning framework, achieved 97.94% accuracy in matching shoes and chairs.
- The tool allows users to draw their desired product, and the computer searches for the closest possible match, potentially changing how people shop online within the next six months.
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