Datasets › Dark Zurich

Dark Zurich

Introduced by Christos Sakaridis et al. in Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation17 Jan 2019 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

13 shown of 13 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 57. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning 1 1 26 Mar 2024 not harvested
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation 1 1 9 Mar 2023 ran 5 of 6 samples (1 unverified)
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation 1 1 2 Dec 2022 not harvested
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data 1 1 27 Jul 2022 not harvested
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions 1 2 14 Jul 2022 ran 0 of 7 samples (7 unverified)
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation 1 1 27 Apr 2022 not harvested
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation 1 2 19 Apr 2022 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation 1 1 21 Mar 2022 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation 3 1 29 Nov 2021 ran 6 of 6 samples (0 unverified; 6 pointer-only for licence)
Zero-Shot Day-Night Domain Adaptation with a Physics Prior 1 1 11 Aug 2021 ran 3 of 3 samples (0 unverified)
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation 1 2 22 Apr 2021 ran 3 of 4 samples (1 unverified)
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation 1 1 28 May 2020 not harvested
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation 1 1 17 Jan 2019 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Dark Zurich
  • Cityscapes to Dark Zurich

2 variant names, as the archive lists them.

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