ISO 19178-1:2025

Geographic information — Training data markup language for artificial intelligence — Part 1: Conceptual model
Autor: ISO
Código ICS: 35.240.70
Vigente
$258.230

Alcance

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).

Especificaciones de la Norma
Fecha de Publicación 27/05/2025
Título Secundario Information géographique — Langage de balisage des données d'entraînement pour l'intelligence artificielle — Partie 1: Modèle conceptuel
Páginas Técnicas 48
Idioma Inglés