Datasets › NAVER LABS Localization Datasets
NAVER LABS Localization Datasets
The NAVER LABS localization datasets are 5 new indoor datasets for visual localization in challenging real-world environments. They were captured in a large shopping mall and a large metro station in Seoul, South Korea, using a dedicated mapping platform consisting of 10 cameras and 2 laser scanners. In order to obtain accurate ground truth camera poses, we used a robust LiDAR SLAM which provides initial poses that are then refined using a novel structure-from-motion based optimization. The datasets are provided in the kapture format and contain about 130k images as well as 6DoF camera poses for training and validation. We also provide sparse Lidar-based depth maps for the training images. The poses of the test set are withheld to not bias the benchmark.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (modified ver.)
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- NAVER LABS Localization Datasets
1 variant name, as the archive lists them.
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