Agile Drone Pose Dataset

Agile Drone Pose Dataset (ADPD) ADPD is an indoor stereo benchmark for close-range agile drone trajectories. It provides synchronized stereo images, MoCap-derived 6-DoF annotations, official sequence-level splits, detector annotations, and camera calibration. It does not require LiDAR, point clouds, or dense scene reconstruction. Dataset Summary Split Sequences Stereo pairs Images Train 29 13,517 27,034 Validation 8 3,621 7,242 Test 4 1,700 3,400… See the full description on the dataset page:

Source: Hugging Face Hub (adpd-anonymous-review/adpd-review). Metadata imported from the dataset’s Hub tags.