Pl@ntNet app in the era of deep learning
Affouard A., Goeau H., Bonnet P., Lombardo J.C., Joly A.. 2017. Toulon : s.n., 6 p.. International Conference on Learning Representations. 5, 2017-04-24/2017-04-26, Toulon (France).
Pl@ntNet is a large-scale participatory platform and information system dedicated to the production of botanical data through image-based plant identification. In June 2015, Pl@ntNet mobile front-ends moved from classical hand-crafted visual features to deep-learning based image representations. This paper gives an overview of today's Pl@ntNet architecture and discusses how the introduction of convolutional neural networks did improve the whole workflow along the years.
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Agents Cirad, auteurs de cette publication :
- Affouard Antoine — Bios / UMR AMAP
- Bonnet Pierre — Bios / UMR AMAP
- Goeau Hervé — Bios / UMR AMAP