Datasets › GTA-UAV

GTA-UAV

Introduced by Yuxiang Ji et al. in Game4Loc: A UAV Geo-Localization Benchmark from Game Data25 Sep 2024 archive 2025-07-28

GTA-UAV dataset provides a large continuous area dataset (covering 81.3km2) for UAV visual geo-localization, expanding the previously aligned drone-satellite pairs to arbitrary drone-satellite pairs to better align with real-world application scenarios. Our dataset contains:

  • 33,763 simulated drone-view images, from multiple altitudes (80-650m), multiple attitudes, multiple scenes (urban, mountain, coast, forest, etc.).

  • 14,640 tiled satellite-view images from 4 zoom levels for arbitrarily pairing.

  • Overlap (in IoU) of FoV for each drone-satellite pair.

  • Drone (camera) 6-DoF labels for each drone image.

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

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

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GTA-UAV

1 variant name, as the archive lists them.

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