The Herbarium 2021 Half-Earth Challenge Dataset
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The Herbarium 2021 Half-Earth Challenge Dataset. / Belongie, Serge; de Lutio, Riccardo; Little, Damon P.; Ambrose, Barbara A.
2021.Research output: Working paper › Preprint › Research
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TY - UNPB
T1 - The Herbarium 2021 Half-Earth Challenge Dataset
AU - Belongie, Serge
AU - de Lutio, Riccardo
AU - Little, Damon P.
AU - Ambrose, Barbara A.
PY - 2021/5/28
Y1 - 2021/5/28
N2 - Herbarium sheets present a unique view of the world's botanical history, evolution, and diversity. This makes them an all-important data source for botanical research. With the increased digitisation of herbaria worldwide and the advances in the fine-grained classification domain that can facilitate automatic identification of herbarium specimens, there are a lot of opportunities for supporting research in this field. However, existing datasets are either too small, or not diverse enough, in terms of represented taxa, geographic distribution or host institutions. Furthermore, aggregating multiple datasets is difficult as taxa exist under a multitude of different names and the taxonomy requires alignment to a common reference. We present the Herbarium Half-Earth dataset, the largest and most diverse dataset of herbarium specimens to date for automatic taxon recognition.
AB - Herbarium sheets present a unique view of the world's botanical history, evolution, and diversity. This makes them an all-important data source for botanical research. With the increased digitisation of herbaria worldwide and the advances in the fine-grained classification domain that can facilitate automatic identification of herbarium specimens, there are a lot of opportunities for supporting research in this field. However, existing datasets are either too small, or not diverse enough, in terms of represented taxa, geographic distribution or host institutions. Furthermore, aggregating multiple datasets is difficult as taxa exist under a multitude of different names and the taxonomy requires alignment to a common reference. We present the Herbarium Half-Earth dataset, the largest and most diverse dataset of herbarium specimens to date for automatic taxon recognition.
UR - https://arxiv.org/abs/2105.13808
M3 - Preprint
BT - The Herbarium 2021 Half-Earth Challenge Dataset
ER -
ID: 303800300