The Herbarium 2021 Half-Earth Challenge Dataset
The Herbarium 2021 Half-Earth Challenge Dataset
复制标题
DOI：
--
复制
发表时间：
2021-05
期刊：
影响因子：
--
通讯作者：
Riccardo de Lutio;D. Little;B. Ambrose;Serge J. Belongie
中科院分区：
文献类型：
--
作者：
Riccardo de Lutio;D. Little;B. Ambrose;Serge J. Belongie
植物标本室展示了世界植物历史、进化和多样性的独特视角。这使它们成为植物学研究的重要数据来源。随着世界范围内植物标本馆数字化程度的提高和细粒度分类领域的进步，可以促进植物标本馆标本的自动识别，这一领域的支持研究有很多机会。然而，就所代表的分类群、地理分布或宿主机构而言，现有的数据集要么太小，要么不够多样化。此外，聚合多个数据集是困难的，因为分类群以许多不同的名称存在，并且分类法需要与公共引用保持一致。我们提供了半地球标本馆数据集，这是迄今为止用于自动分类单元识别的最大和最多样化的标本馆标本数据集。
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.