
Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model
STANDARD published on 1.11.2025
Designation standards: ČSN EN ISO 19178-1
Classification mark: 979890
Catalog number: 522111
Publication date standards: 1.11.2025
The number of pages: 64
Approximate weight : 192 g (0.42 lbs)
Country: Czech technical standard
Category: Technical standards ČSN
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)