The Herbarium 2021 Half-Earth Challenge Dataset

Publikation: Working paper › Preprint › Forskning

Standard

The Herbarium 2021 Half-Earth Challenge Dataset. / Belongie, Serge; de Lutio, Riccardo; Little, Damon P.; Ambrose, Barbara A.

2021.

Publikation: Working paper › Preprint › Forskning

Harvard

Belongie, S, de Lutio, R, Little, DP & Ambrose, BA 2021 'The Herbarium 2021 Half-Earth Challenge Dataset'. <https://arxiv.org/pdf/2105.13808.pdf>

APA

Belongie, S., de Lutio, R., Little, D. P., & Ambrose, B. A. (2021). The Herbarium 2021 Half-Earth Challenge Dataset. https://arxiv.org/pdf/2105.13808.pdf

Vancouver

Belongie S, de Lutio R, Little DP, Ambrose BA. The Herbarium 2021 Half-Earth Challenge Dataset. 2021 maj 28.

Author

Belongie, Serge ; de Lutio, Riccardo ; Little, Damon P. ; Ambrose, Barbara A. / The Herbarium 2021 Half-Earth Challenge Dataset. 2021.

Bibtex

@techreport{8680752beb994ab49c42f9ca322b1008,
title = "The Herbarium 2021 Half-Earth Challenge Dataset",
abstract = "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.",
author = "Serge Belongie and {de Lutio}, Riccardo and Little, {Damon P.} and Ambrose, {Barbara A.}",
year = "2021",
month = may,
day = "28",
language = "English",
type = "WorkingPaper",

}

RIS

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