ShadeBench Dataset Aims to Model Urban Shade for Sustainable Cities
A new benchmark dataset called ShadeBench has been developed by researchers to enhance the modeling and analysis of shade patterns in urban environments created by buildings. The urban heat island effect is exacerbating heat exposure in cities, and detailed shade patterns play a crucial role in influencing the thermal comfort of pedestrians and their outdoor activities. The absence of extensive datasets and structured evaluation methods has limited effective shade modeling. ShadeBench resolves this issue by offering a variety of urban scenes with changing simulated shade maps and accompanying textual descriptions, as well as aligned satellite images, building skeletons, and 3D building models. This multimodal dataset facilitates tasks like shade generation, shade segmentation, and 3D building reconstruction. The study is available on arXiv with the identifier 2605.20510.
Key facts
- ShadeBench is a dataset and benchmark for urban shade understanding.
- It addresses the challenge of urban heat exposure due to the urban heat island effect.
- The dataset includes geographically diverse urban scenes.
- It contains temporally varying simulated shade maps and textual descriptions.
- Aligned satellite imagery, building skeleton representations, and 3D building meshes are included.
- Supports tasks: shade generation, shade segmentation, and 3D building reconstruction.
- Published on arXiv with identifier 2605.20510.
- Aims to improve pedestrian thermal exposure and outdoor activity planning.
Entities
Institutions
- arXiv