Tired of digitizing biodiversity data by hand? Consider using large language models to, for example, extract plant functional traits from unstructured texts: See bsapubs.onlinelibrary.wiley.com/doi/full/10.... led by @viktordo.bsky.social @uni-goettingen.de, @exeter.ac.uk, @ribesresearch.bsky.social

Using large language models to extract plant functional traits from unstructured text

Premise Functional plant ecology seeks to understand how functional traits govern species distributions, community assembly, and ecosystem functions. While global trait datasets have advanced the fi...

bsapubs.onlinelibrary.wiley.com

New dataset & pre-print: The Coralscapes dataset for semantic scene understanding in coral reefs! 🤿🎥🐟🐠🐡 Coralscapes is the first dataset consistently annotated for general-purpose semantic segmentation in reefs, spanning 174k segmentation masks of 39 benthic classes on 2074 images!