Dark Zurich
Dark Zurich is an image dataset containing a total of 8779 images captured at nighttime, twilight, and daytime, along with the respective GPS coordinates of the camera for each image. These GPS annotations are used to construct cross-time-of-day correspondences, i.e., to match each nighttime or twilight image to its daytime counterpart.
These attributes allow the usage of Dark Zurich as a dataset to build models and systems that perform:
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domain adaptation (unsupervised, weakly supervised or semi-supervised), e.g. for semantic segmentation or object detection,
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image translation / style transfer to different times of day,
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robust image matching / visual localization across diverse domains, and
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other visual perception tasks that are central for autonomous vehicles and other robotic applications.