Dataset Open Access
Building Object and Outdoor Scene Segmentation (BOOSS) - Multi-channel (RGB + Thermal) Aerial Imagery Datasets
Hou, Yu;
Volk, Rebekka;
Soibelman, Lucio
The dataset of Building Object and Outdoor Scene Segmentation (BOOSS) is based on multi-channel aerial imagery data. It covers
- Ground Truth
- RGB
- Thermal
The annotations in version 1.0 include roofs, facades, cars, roof equipment, and ground equipment
Please cite as:
Hou, Yu, Meida Chen, Rebekka Volk, and Lucio Soibelman. "An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets." Remote Sensing 13, no. 21 (2021): 4357.
| Name | Size | |
|---|---|---|
|
datasets.zip
md5:4602bb16154d3265b66093c706cbcc5c |
924.8 MB | Download |
Y. Hou, L. Soibelman, R. Volk, and M. Chen, Factors Affecting the Performance of 3D Thermal Mapping for Energy Audits in A District by Using Infrared Thermography (IRT) Mounted on Unmanned Aircraft Systems (UAS), doi: https://doi.org/10.22260/ISARC2019/0036.
Y. Hou, R. Volk, M. Chen, and L. Soibelman, (2021). Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions, Automation in Construction, vol. 124, doi: 10.1016/j.autcon.2021.103554.
| All versions | This version | |
|---|---|---|
| Views | 232 | 232 |
| Downloads | 1,351 | 1,351 |
| Data volume | 1.2 TB | 1.2 TB |
| Unique views | 179 | 179 |
| Unique downloads | 116 | 116 |
- Publication date:
- August 1, 2021
- DOI:
-
- Keyword(s):
- building thermal modeling; building semantic segmentation; energy audits; instance segmentation; thermal and RGB data fusion
- License (for files):
- Creative Commons Attribution 3.0 Germany