Dark Zurich
홈페이지 · 논문 57편
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.
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