Background reading
You can find out about Inselect from
- the iDigBio webinar, Insights into Inselect: automating image processing, barcode reading, and validation of user-defined metadata, available as a video and via Adobe Connect (additional software required), and
- the PLOS ONE paper Inselect: automating the digitization of natural history collections.
Exercises
We plan to create comprehensive user documentation for Inselect.
The following documentation is written as exercises for you to follow.
The files for exercises are available in
a zipfile
(250MB).
Many digitisation pipelines use TIFF
images. Whole-drawer TIFF
images can
be extremely large - files of up to 800MB are common. These examples use JPG
files in order to minimize amount of data that you need to download.
- Introduction
- Image handling, file handling and bounding boxes
- Metadata templates
- Barcode reading
- Cookie cutter
- Command-line tools
These materials are based on a workshop given at a joint iDigBio and SYNTHESYS workshop Selected tools for automated metadata capture from specimen images, Botanischer Garten und Botanisches Museum, Berlin, June 2016.