Draft
International Standard
ISO/DIS 19178-1
Geographic information — Training data markup language for artificial intelligence — Part 1: Conceptual model
Reference number
ISO/DIS 19178-1
Edition 2
© ISO 2026
Draft International Standard
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Under development
This Draft International Standard is in the enquiry phase with ISO members.
Will replace ISO 19178-1:2025

Abstract

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).

General information

Note: This standard is updated by a Maintenance Agency or Registration Authority

  • Status
     : Under development
    Stage
    : Full report circulated: DIS approved for registration as FDIS [40.99]
  • Edition
     : 2
  • Technical Committee :
    ISO/TC 211
    ICS :
    35.240.70 
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