GTA-UAV

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.