Training data plays a fundamental role in Earth Observation (EO) Artificial Intelligence Machine Learning (AI/ML) applications, especially Deep Learning (DL). It is used to train, validate, and test AI/ML models. Understanding the source and applicability of training data allows for better understanding of the results of AI/ML operations.
To maximize the interoperability and re-usability of geospatial training data, the candidate TrainingDML-AI Standard defines a model and encodings consistent with the OGC Standards baseline to exchange and retrieve the training data via the Web.
Announcing the Launch of the Location Innovation Academy
Monday, March 27th, 2023New Location Innovation Academy empowers users to improve the accessibility, interoperability, and integration of their geospatial data and services, for free.
The Open Geospatial Consortium (OGC) is pleased to announce the launch of the Location Innovation Academy – a free online training program based on the knowledge and ideas generated by the European GeoE3 project. A webinar launching the academy is scheduled for April 5; additional webinars will follow.
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