Machine Learning Model Specification for Cataloging Spatio-Temporal Models (Demo Paper)
Francis Charette-Migneault, Ryan Avery, Brian Pondi, Joses Omojola, Simone Vaccari, Parham Membari, Devis Peressutti, Jia Yu, Jed Sundwall · 2024
The Machine Learning Model (MLM) extension is a specification that extends the SpatioTemporal Asset Catalogs (STAC) framework to catalog machine learning models. This demo paper introduces the goals of the MLM, highlighting its role in improving searchability and reproducibility of geospatial models. The MLM is contextualized within the STAC ecosystem, demonstrating its compatibility and the advantages it brings to discovering relevant geospatial models and describing their inference requirements.