A recap of the 128th OGC Member Meeting, Delft, The Netherlands
OGC’s 128th Member Meeting, themed ‘GeoBIM for the Built Environment,’ was our biggest ever, with over 300 attendees from industry, government and academia.
The Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Standard aims to develop the UML model and encodings for geospatial machine learning training data. Training data plays a fundamental role in Earth Observation (EO) Artificial Intelligence Machine Learning (AI/ML), especially Deep Learning (DL). It is used to train, validate, and test AI/ML models. This Standard defines a UML model and encodings consistent with the OGC Standards baseline to exchange and retrieve the training data in the Web environment.
The TrainingDML-AI Standard provides detailed metadata for formalizing the information model of training data. This includes but is not limited to the following aspects:
Document title | Version | OGC Doc No. | Type |
---|---|---|---|
OGC Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Part 1: Conceptual Model Standard | 1.0 | 23-008r3 | IS |
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