4th Jun. 2025
In this new video, our colleague, Soulaine Theocharides, from the Naturalis Biodiversity Center (Netherlands), guides us through DiSSCo’s new service, the Specimen Label Automatic Transcription Service (SpLAT).
SpLAT uses artificial intelligence to capture label information from natural history museum specimens. The images are then processed using a GPT model, and text is extracted from any labels present. The text is formatted according to the openDS specification of DiSSCo and used to annotate the digital specimen with additional information.
Integrated in DiSSCover, SpLAT is a great step forward to integrating AI into digitization workflows and automatically transcribing natural history specimens labels.
Do you want to know more about the technical side of DiSSCo? DiSSCo puts different technical knowledge platforms at the scientific community’s disposal:
DiSSCoTech: Get the latest technical posts about the design of DiSSCo’s Infrastructure
DiSSCo GitHub: Code hosting for DiSSCo software, version control and collaboration
DiSSCo Modelling Framework: A WikiBase tool that is configured to create an abstraction of the DiSSCo data model