A benchmark dataset of herbarium specimen images with label data.

ABSTRACT:

Background

More 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 information

To 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

SUBMITTER: Dillen M 

PROVIDER: S-EPMC6396854 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature