An algorithm competition for automatic species identification from herbarium specimens

An algorithm competition for automatic species identification from herbarium specimens

Premise Plant biodiversity is threatened, yet many species remain undescribed. It is estimated that >50% of undescribed species have already been collected and are awaiting discovery in herbaria. Robust automatic species identification algorithms using machine learning could accelerate species di...

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Bibliographic Details
Main Authors: Damon P. Little, Melissa Tulig, Kiat Chuan Tan, Yulong Liu, Serge Belongie, Christine Kaeser‐Chen, Fabián A. Michelangeli, Kiran Panesar, R.V. Guha, Barbara A. Ambrose
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:Applications in Plant Sciences
Subjects:
artificial intelligence
computer vision
herbarium specimen
FGVC
Kaggle
machine learning
Online Access:https://doi.org/10.1002/aps3.11365

Internet

https://doi.org/10.1002/aps3.11365

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