Leafsnap: A Computer Vision System for Automatic Plant Species Identification
chairman: Michal Irani, Weizmann Institute of Science
chairman: Andrea Vedaldi, Department of Engineering Science, University of Oxford
published: Nov. 12, 2012, recorded: October 2012, views: 490
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We describe the first mobile app for identifying plant species using automatic visual recognition. The system - called Leafsnap - identifies tree species from photographs of their leaves. Key to this system are computer vision components for discarding non-leaf images, segmenting the leaf from an untextured background, extracting features representing the curvature of the leaf's contour over multiple scales, and identifying the species from a dataset of the 184 trees in the Northeastern United States. Our system obtains state-of-the-art performance on the real-world images from the new Leafsnap Dataset - the largest of its kind. Throughout the paper, we document many of the practical steps needed to produce a computer vision system such as ours, which currently has nearly a million users.
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