ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society
ShadeBench is a new benchmark dataset aimed at improving shade simulation in urban environments. It addresses the challenges posed by urban heat exposure and the urban heat island effect by providing a comprehensive dataset for analyzing shade patterns. The dataset supports various tasks related to urban climate research and is publicly available for further studies.
- ▪ShadeBench includes geographically diverse urban scenes with simulated shade maps and textual descriptions.
- ▪The dataset supports tasks such as shade generation, shade segmentation, and 3D building reconstruction.
- ▪Standardized evaluation protocols and baseline methods are established for effective analysis.
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Computer Science > Computer Vision and Pattern Recognition arXiv:2605.20510 (cs) [Submitted on 19 May 2026] Title:ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society Authors:Longchao Da, Mithun Shivakoti, Xiangrui Liu, T Pranav Kutralingam, Yezhou Yang, Hua Wei View a PDF of the paper titled ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society, by Longchao Da and 5 other authors View PDF HTML (experimental) Abstract:Urban heat exposure is becoming an increasingly critical challenge due to the intensifying urban heat island effect. Fine-grained shade patterns, especially those induced by urban buildings, strongly influence pedestrians' thermal exposure and outdoor activity planning.
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