This is the GitHub repository of the OGC Training Data Markup Language for AI Standard Working Group (TrainingDML-AI SWG).
Please visit the Wiki Home page for additional information. Please note: Only OGC members have permission to view the information.
To facilitate the further development of TDML, we have been diligently collecting public comments from various organizations, including OGC and ISO, as well as from a wider community of organizations, enterprises, and individuals. We have categorized these comments into two parts: a FAQ list for comments requiring clarification, and update notes for comments necessitating updates to TDML.
You may find answers to your questions and concerns by consulting the FAQ.
Please also see update notes.
The Main Branch is the latest version of the Standard, currently V1.0:
- DOCX TrainingDML-AI Part1: Conceptual Model Standard
- HTML TrainingDML-AI Part1: Conceptual Model Standard
- PDF TrainingDML-AI Part1: Conceptual Model Standard
The Main Branch is the latest version of the draft Standard:
- DOCX TrainingDML-AI Part2: JSON Encoding Standard
- HTML TrainingDML-AI Part2: JSON Encoding Standard
- PDF TrainingDML-AI Part2: JSON Encoding Standard
The Main Branch is the latest version of the draft Standard:
- DOCX TrainingDML-AI Part3: XML Encoding Standard
- HTML TrainingDML-AI Part3: XML Encoding Standard
- PDF TrainingDML-AI Part3: XML Encoding Standard
Implementations of TrainingDML-AI can be found at this link.
Current implementations:
- PyTDML
- TrainingDML-AI STAC Extension
- LuojiaSet TrainingDML-AI Server
- PIE (Pixel Information Expert) Engine Online Dataset
- Pixalytics Plastics Detection Dataset
- GeoLabs TDML-as-a-service
- The First Institute of Photogrammetry and Remote Sensing, MNR: Deployment of PyTDML and Sample Database for Classification Task
- Flame and Smoke Detection Dataset (FASDD) Implementation
- OSM2TDML Implementation