ZAHA
ZAHA is currently the largest benchmark dataset for point‑cloud façade semantic segmentation, containing 601 million labeled points, introducing the Facade Generalisation Level (LoFG) to support hierarchical understanding of building façades, covering diverse architectural styles, and providing both local and global (UTM) coordinate reference systems.
Description
ZAHA Dataset Overview
Dataset Introduction
ZAHA is presently the largest benchmark for point‑cloud façade semantic segmentation.
Highlights
- 601 million labeled points
- Introduces LoFG (Facade Generalisation Level) for hierarchical façade understanding
- Covers multiple architectural styles
- Provides local and global (UTM) coordinate reference systems
- Filenames reference official Bavarian CityGML LoD2 building models
- Includes configuration files for adding custom data
Segmentation Results
LoFG2 Results
| Model | OA | P | R | F1 | IoU |
|---|---|---|---|---|---|
| PointNet | 71.9 | 69.6 | 68.1 | 68.1 | 55.8 |
| PointNet++ | 75.5 | 73.0 | 73.0 | 72.6 | 59.8 |
| Point Transformer | 78.2 | 75.8 | 76.6 | 76.1 | 63.9 |
| DGCNN | 82.6 | 80.0 | 81.8 | 80.4 | 68.5 |
LoFG3 Results
| Model | OA | P | R | F1 | IoU |
|---|---|---|---|---|---|
| PointNet | 59.9 | 46.1 | 42.2 | 38.7 | 26.4 |
| PointNet++ | 66.4 | 37.8 | 35.9 | 34.8 | 25.6 |
| Point Transformer | 75.0 | 52.7 | 54.7 | 52.1 | 41.6 |
| DGCNN | 71.1 | 53.6 | 45.8 | 44.5 | 33.4 |
Download
- Download Link
- Password:
zahahadid
Citation
@article{wysockietalZAHA,
author = {Wysocki, O. and Tan, Y. and Froech, T. and Xia, Y. and Wysocki, M. and Hoegner, L. and Cremers, D. and Holst, C.},
title = {ZAHA: Introducing the Level of Facade Generalization and the Large‑Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2025},
}
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Topics
Source
Organization: github
Created: 11/6/2024
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