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:

1) domain adaptation (unsupervised, weakly supervised or semi-supervised), e.g. for semantic segmentation or object detection,

2) image translation / style transfer to different times of day,

3) robust image matching / visual localization across diverse domains, and

4) other visual perception tasks that are central for autonomous vehicles and other robotic applications.