
Search by image service that lets retailers offer product recommendations from pictures

Open source tool for searching image collections by regions within the pictures

The VGG Image Search Engine is free, open source software with one purpose: any image collection can be made searchable by image regions. Rather than relying on labels for whole pictures, it lets a person look for a part of an image across a set of images, which is useful where the thing wanted occupies only a corner of the frame.
Because the code is open, anyone can take the tool and apply it to their own collection. Researchers, archives and organisations holding large sets of pictures can index them and then query them for matching regions.
Its home is with Information Engineering at the University of Oxford, a research division of the Department of Engineering Science. It started life in 1985 as the Robotics Research Group, founded by Professor Sir Michael Brady, bringing together engineers working in robotics research and artificial intelligence. Today it covers machine learning, computer vision, mobile robotics and e-research, and its research groups run independently of one another.
VGG Image Search Engine is an open source program that lets anyone make a set of pictures searchable by regions inside the images, rather than only by whole-image labels. It is listed on the pages of Information Engineering at the University of Oxford.
Researchers, archives and anyone holding an image collection they want to search. The host group, Information Engineering, is a research division of Oxford's Department of Engineering Science, covering machine learning, computer vision and mobile robotics.
Summary written by TrustList from the business's own published information, Nov 2026.
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