Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations · Institut National Polytechnique de Toulouse · +2 more institutions
Abstract
The 2017-th edition of the LifeCLEF plant identification challenge is an important milestone towards automated plant identification systems working at the scale of continental floras with 10.000 plant species living mainly in Europe and North America illustrated by a total of 1.1M images. Nowadays, such ambitious systems are enabled thanks to the conjunction of the dazzling recent progress in image classification with deep learning and several outstanding international initiatives, such as the Encyclopedia of Life (EOL), aggregating the visual knowledge on plant species coming from the main national botany institutes. However, despite all these efforts the majority of the plant species still remain without…
Citation impact
- FWCI
- —
- Percentile
- —
- References
- 6
Authors
3- HGHervé GoëauCorresponding
UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations
- PBPierre Bonnet
UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations
- AJAlexis Joly
Institut National Polytechnique de Toulouse, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Data Management (Italy)
Topics & keywords
- Plant identification
- Milestone
- Identification (biology)
- Computer science
- World Wide Web
- Plant species
- Web page
- Data science