Dataset · Hugging Face

adpd-anonymous-review/adpd-review

Name: adpd-review
Creator: adpd-anonymous-review
License: cc-by-4.0
Keywords: task_categories:image-to-3d, task_categories:object-detection, language:en, license:cc-by-4.0, size_categories:10K<n<100K, modality:image, region:us, stereo-vision, drone-trajectory, motion-capture, 6dof

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: https://huggingface.co/datasets/adpd-anonymous-review/adpd-review.

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Author / organization	adpd-anonymous-review
License (as declared)	cc-by-4.0
Downloads	282 (as reported by Hugging Face)
Likes	0
Created	18 July 2026
Last updated at source	9 October 2026

stereo-visiondrone-trajectorymotion-capture6dof

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