The dataset comprises 1,028 aligned RGB–IR image pairs collected using an unmanned aerial vehicle (UAV) on the HKUST campus. It is designed to support the training and evaluation of cross‑modal deep learning algorithms for RGB–IR–based building façade inspection. Acknowledgement:
We would like to appreciate the help and support from Dr. Gang ZHAO, Mr. Jun CHEN, Mr Cong CHEN from The Hong Kong University of Science and Technology, and Dr Dhanada Mishra, Prof. Matthew Ming-Fai Yuen, Mr. Andy YEUNG and Mr. Harris SUN from RaSpect Intelligence Inspection Limited. We are also grateful for the student work Ms. Yi WU provided to collect this dataset.
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Building Facade RGB–IR Benchmark Dataset
Dec 4, 2025
HE, Sudao; ZHANG, Shenghan, 2025, "Building Facade RGB–IR Benchmark Dataset", https://doi.org/10.14711/dataset/BEC8FI, DataSpace@HKUST, V1
The dataset comprises 1,028 aligned RGB–IR image pairs collected using an unmanned aerial vehicle (UAV) on the HKUST campus. It is designed to support the training and evaluation of cross‑modal deep learning algorithms for RGB–IR–based building façade inspection. Acknowledgement:...
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