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: 5913
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !