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Dataset for HDR4CV: High dynamic range dataset with adversarial illumination for testing computer vision methods


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Authors

Alam, Muhammad Z 
Giuliani, Nicola 
Chen, Hu 

Description

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.

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Software / Usage instructions

Refer to README.md

Keywords

HDR, computational photography, computer vision, camera ISP

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