RUBIC-AI 1.0.0-beta.1

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[1.0.0-beta.1] – 2025-01-15

Added

• First public beta release of RUBIC-AI.
• PyQt5-based graphical user interface for building-stock inspection and labeling.
• Polygon-based sampling workflow for systematic image acquisition.
• Support for Google Street View, and in-field imagery.
• Integration of YOLOv11 object detector for automatic building detection.
• Deep-learning classifiers for building attributes aligned with the GEM taxonomy.
• Extrapolation module using KNN with soft voting.
• Export of results to CSV and GeoPackage formats.

Known Issues

• Some attributes require manual confirmation when images are low-quality, partially occluded, or affected by adverse lighting conditions.
• Model performance may degrade for building façades with architectural styles that are significantly underrepresented or absent in the training dataset.