A benchmark dataset of herbarium specimen images with label data
A benchmark dataset of herbarium specimen images with label data
复制标题
DOI：
10.3897/bdj.7.e31817
复制
发表时间：
2019-02-08
影响因子：
1.3
通讯作者：
Phillips, Sarah
中科院分区：
文献类型：
--
作者：
Dillen, Mathias;Groom, Quentin;Phillips, Sarah
背景越来越多的植物标本馆正在将其收藏数字化。标本的图像在网上提供，以方便查阅，并从中提取信息。记录在样本上的数据对于一般可重复性至关重要，并能够纳入大型聚合研究数据集。不同的方法，如众包和人工智能，正在开发以优化转录，但植物标本在数据提取方面存在困难，原因有很多。新信息为了为转录方法的开发人员提供优化手段，我们编制了一个基准数据集，包含1，800个植物标本图像和相应的转录数据。这些图像来自九个不同的收藏品，包括反映转录方法可能遇到的多种潜在障碍的标本，例如语言，文本格式（印刷或手写），标本年龄和命名类型状态的差异。我们正在使这些标本与知识共享零许可豁免和数据的永久在线存储。通过这样做，我们正在最大限度地减少使用这些图像进行转录训练的障碍。这一基准图像数据集也可用于需要一套确定和记录的植物标本集的地方，例如用于提取形态特征、笔迹识别和标本的颜色分析。
BackgroundMore and more herbaria are digitising their collections. Images of specimens are made available online to facilitate access to them and allow extraction of information from them. Transcription of the data written on specimens is critical for general discoverability and enables incorporation into large aggregated research datasets. Different methods, such as crowdsourcing and artificial intelligence, are being developed to optimise transcription, but herbarium specimens pose difficulties in data extraction for many reasons.New informationTo provide developers of transcription methods with a means of optimisation, we have compiled a benchmark dataset of 1,800 herbarium specimen images with corresponding transcribed data. These images originate from nine different collections and include specimens that reflect the multiple potential obstacles that transcription methods may encounter, such as differences in language, text format (printed or handwritten), specimen age and nomenclatural type status. We are making these specimens available with a Creative Commons Zero licence waiver and with permanent online storage of the data. By doing this, we are minimising the obstacles to the use of these images for transcription training. This benchmark dataset of images may also be used where a defined and documented set of herbarium specimens is needed, such as for the extraction of morphological traits, handwriting recognition and colour analysis of specimens.