Datasets › Aachen Day-Night

Aachen Day-Night

Introduced by Torsten Sattler et al. in Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions archive 2025-07-28

Aachen Day-Night is a dataset designed for benchmarking 6DOF outdoor visual localization in changing conditions. It focuses on localizing high-quality night-time images against a day-time 3D model. There are 14,607 images with changing conditions of weather, season and day-night cycles.

Source: Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Benchmarks archive 2025-07-28

All 1 leaderboard 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.

First row (archive order)PaperCode
Camera Localization Aachen Day-Night benchmark PoSFeat Acc @ 0.5m, 2° 81.6 Decoupling Makes Weakly Supervised Local Feature Better The-Learning-And-Vision-Atelier-LAVA/PoSFeat 2 Compare

Papers archive 2025-07-28

2 shown of 2 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 93. 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
Decoupling Makes Weakly Supervised Local Feature Better 1 1 8 Jan 2022 not harvested
R2D2: Reliable and Repeatable Detector and Descriptor 2 1 1 Dec 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

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Aachen Day-Night benchmark
  • Aachen Day-Night

2 variant names, as the archive lists them.

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