Dataset for HDR4CV: High dynamic range dataset with adversarial illumination for testing computer vision methods
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Hanji, P., Alam, M. Z., Giuliani, N., Chen, H., & Mantiuk, R. (2021). Dataset for HDR4CV: High dynamic range dataset with adversarial illumination for testing computer vision methods [Dataset]. https://doi.org/10.17863/CAM.71285
This dataset is intended to test the robustness of computer vision methods under challenging illumination conditions. The dataset includes four scenes (*Faces*, *Tunnel*, *Street-parallel*, *Street-diagonal*), which were captured multiple times, each time under a different illumination condition (**night**, **hdr**, **glare**, and **uniform**). A non-challenging **uniform** illumination condition serves as a reference and can be used to generate labels for the other three challenging illumination conditions and test a given computer vision method. This lets us avoid the tedious task of manually labeling the data. Refer to README.md for further details.
Refer to README.md
HDR, computational photography, computer vision, camera ISP
This record's DOI: https://doi.org/10.17863/CAM.71285