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This video was recorded at 12th European Conference on Computer Vision (ECCV), Firenze 2012. 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.

Disciplines:

• Science and Technology  / Computer Science  / Programming & Programming Languages