This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens
Specimens or objects in natural history collections hold substantial research and cultural value tha...
We describe an effective approach to automated text digitisation with respect to natural history spe...
We describe an effective approach to automated text digitisation with respect to natural history spe...
This report reviews the current state-of-the-art applied approaches on automated tools, services and...
Capturing data from specimen images is the most viable way of enriching specimen metadata cheaply an...
Over the past three years, we have been developing the Specimen Data Refinery (SDR) to automate the ...
Digitisation programmes in many institutes frequently involve disparate and irregular funding, diver...
Traditional approaches for digitizing natural history collections, which include both imaging and me...
The Natural History Museum holds over 80 million specimens and 300 million pages of scientific text....
Computational workflow environments are an active area of computer science and informatics research;...
The rapid development and refinement of digital technologies in the last two decades has spearheaded...
Over the past years, herbarium collections worldwide have started to digitize millions of specimens ...
A key limiting factor in organising and using information from physical specimens curated in natural...
The Natural History Museum, London (NHM) has embarked on an ambitious Digital Collections Programme ...
The Natural History Museum (NHM) of London has embarked on an ambitious programme to digitise the 80...
Specimens or objects in natural history collections hold substantial research and cultural value tha...
We describe an effective approach to automated text digitisation with respect to natural history spe...
We describe an effective approach to automated text digitisation with respect to natural history spe...
This report reviews the current state-of-the-art applied approaches on automated tools, services and...
Capturing data from specimen images is the most viable way of enriching specimen metadata cheaply an...
Over the past three years, we have been developing the Specimen Data Refinery (SDR) to automate the ...
Digitisation programmes in many institutes frequently involve disparate and irregular funding, diver...
Traditional approaches for digitizing natural history collections, which include both imaging and me...
The Natural History Museum holds over 80 million specimens and 300 million pages of scientific text....
Computational workflow environments are an active area of computer science and informatics research;...
The rapid development and refinement of digital technologies in the last two decades has spearheaded...
Over the past years, herbarium collections worldwide have started to digitize millions of specimens ...
A key limiting factor in organising and using information from physical specimens curated in natural...
The Natural History Museum, London (NHM) has embarked on an ambitious Digital Collections Programme ...
The Natural History Museum (NHM) of London has embarked on an ambitious programme to digitise the 80...
Specimens or objects in natural history collections hold substantial research and cultural value tha...
We describe an effective approach to automated text digitisation with respect to natural history spe...
We describe an effective approach to automated text digitisation with respect to natural history spe...