Datasets › BuckTales
BuckTales (A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes)
The first and large scale dataset to solve multi-object tracking and Re-identification problem with wild animals using UAVs.
The dataset provides annotations for object detection, multi-object tracking and re-identification. Object detection dataset is specific for MOT problem : 320 Images MOT : 12 videos (21K frames) of 5.4K resolution, avg length 66 sec (Total : 1.2 Million) Longest video in MOT is 3 min (5800) Each video has 30-130 animals with different types of clusters and fast/slow movements. Total tracks : 680
Re-Identification (video) :
730 Individuals records from two different drones simultaneuously in 11 video pairs.
Video length = 600 - 1100 frames.
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
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CCO
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BuckTales
1 variant name, as the archive lists them.
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