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Expresso : A User-Friendly GUI for Designing , Training and Exploring Convolutional Neural Networks

The volume of visual data consumed on mobile devices is growing exponentially. Gestural interaction, such as sketching, provides a convenient and intuitive modality for interacting with visual content on such devices, which primarily feature touch-screens rather than keyboards. Yet despite regaining significant traction in the research community, sketch based image retrieval (SBIR) has not yet seen widespread adoption for visual search. Possible explanations for this include a focus primarily on shape (structure) alone in SBR, and a lack of scalability with most techniques able to index only a few thousand images within practical query times (i.e. sub-second response). We present a live demonstration of our sketch based visual search software, capable of searching the ImageNet dataset (16 million images) in less than one second. The user is invited to draw a free-hand sketch via a tablet interface, using either the touch-screen or stylus. Matching images are displayed in real-time as the sketch develops. Uniquely our system enables search using colour sketches, and scales with state of the art accuracy over millions of images. A video of the demo software is available at