Datasets › DenseUAV

DenseUAV

Introduced by Ming Dai et al. in Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments30 Dec 2023 archive 2025-07-28

DenseUAV is a dataset of drone and satellite perspectives collected from 14 universities in low-altitude urban scenes. The main features include real scene sampling, sampling perspective perpendicular to the ground, and dense sampling. A total of 3033 sampling points, including 9099 drone perspective images and 18198 satellite perspective images.

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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 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

cvg/gluestickpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

geo-localization

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

English

Variants archive 2025-07-28

DenseUAV

1 variant name, as the archive lists them.

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