Leafsnap
Leafsnap: a computer vision system for automatic plant species identification. 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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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
Sorted by year (- Wäldchen, Jana; Mäder, Patrick: Plant species identification using computer vision techniques: a systematic literature review (2018)
- Richardson, Casey L.; Younes, Laurent: Metamorphosis of images in reproducing kernel Hilbert spaces (2016)
- Biswas, Arijit; Jacobs, David: Active image clustering with pairwise constraints from humans (2014)
- Branson, Steve; Van Horn, Grant; Wah, Catherine; Perona, Pietro; Belongie, Serge: The ignorant led by the blind: a hybrid human-machine vision system for fine-grained categorization (2014)