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Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail effects of the datasets distribution.
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
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A New Paphiopedilum Orchid Database and Its Recognition Using Convolutional Neural Network
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Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
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The INaturalist Species Classification and Detection Dataset
G. Van Horn, O. M. Aodha, Y. Song, Y. Cui, C. Sun, A. Shepard, H. Adam, P. Perona, and S. Belongie · 2018
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GinJinn: An object-detection pipeline for automated feature extraction from herbarium specimens
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LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens
W. N. Weaver, J. Ng, and R. G. Laport · 2020
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Detection and annotation of plant organs from digitised herbarium scans using deep learning
S. Younis, M. Schmidt, C. Weiland, S. Dressler, B. Seeger, and T. Hickler · 2020
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