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ISO 19178-1:2025

Geographic information — Training data markup language for artificial intelligence — Part 1: Conceptual model

Publication date:   May 27, 2025

General information

90.92   Standard to be revised   Jun 17, 2026

ISO

ISO/TC 211 Geographic information/Geomatics

International Standard

35.240.70   IT applications in science

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Scope

Within the context of training data for Earth Observation (EO) Artificial Intelligence Machine Learning (AI/ML), this document specifies a conceptual model that:
—     establishes a UML model with a target of maximizing the interoperability and usability of EO imagery training data;
—     specifies different AI/ML tasks and labels in EO in terms of supervised learning, including scene level, object level and pixel level tasks;
—     describes the permanent identifier, version, licence, training data size, measurement or imagery used for annotation;
—     specifies a description of quality (e.g. training data errors, training data representativeness, quality measures) and provenance (e.g. agents who perform the labelling, labelling procedure).

Life cycle

NOW

PUBLISHED
ISO 19178-1:2025
90.92 Standard to be revised
Jun 17, 2026

REVISED BY

IN_DEVELOPMENT
ISO/DIS 19178-1