Pl@ntNet App in the Era of Deep Learning
Abstract
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.
Cite
Text
Affouard et al. "Pl@ntNet App in the Era of Deep Learning." International Conference on Learning Representations, 2017.Markdown
[Affouard et al. "Pl@ntNet App in the Era of Deep Learning." International Conference on Learning Representations, 2017.](https://mlanthology.org/iclr/2017/affouard2017iclr-pl/)BibTeX
@inproceedings{affouard2017iclr-pl,
title = {{Pl@ntNet App in the Era of Deep Learning}},
author = {Affouard, Antoine and Goëau, Hervé and Bonnet, Pierre and Lombardo, Jean-Christophe and Joly, Alexis},
booktitle = {International Conference on Learning Representations},
year = {2017},
url = {https://mlanthology.org/iclr/2017/affouard2017iclr-pl/}
}