BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes

The dataset contains UAV footage of wild antelopes (blackbucks) in grassland habitats. It can be mainly used for two tasks: Multi-object tracking (MOT) and Re-Identification (Re-ID).
We provide annotations for the position of animals in each frame, allowing us to offer very long videos (up to 3 min) completely annotated while maintaining the identity of each animal in the video.
The Re-ID dataset offers two videos, that capture the movement of some animals simultaneously from two different UAVs. The Re-ID task is to find the same individual in two videos taken simultaneously from a slightly different perspective.
The relevant paper will be published in the NeurIPS 2024 Dataset and Benchmarking Track. https://nips.cc/virtual/2024/poster/97563

Resolution: 5.4 K
MOT: 12 videos ( MOT17 Format)
Re-ID: 6 sets (each with a pair of drones) (Custom)
Detection: 320 Images (COCO, YOLO)

本数据集包含草原生境中野生羚羊（印度黑羚，blackbucks）的无人机（Unmanned Aerial Vehicle, UAV）航拍影像，主要可应用于两项任务：多目标跟踪（Multi-object tracking, MOT）与重识别（Re-Identification, Re-ID）。
我们为每一帧中的动物位置提供标注，可支持对最长达3分钟的完整视频进行全量标注，并保留视频中每只动物的身份信息。
该重识别任务以两路同步拍摄的视频为示例，两路视频分别由两架不同的无人机拍摄，捕捉部分动物的移动轨迹；任务目标为在视角略有差异的两路同步视频中，匹配到同一目标个体。
相关论文将发表于NeurIPS 2024数据集与基准赛道（Dataset and Benchmarking Track），链接为https://nips.cc/virtual/2024/poster/97563。
分辨率：5.4K
多目标跟踪子集：12段视频（采用MOT17格式）
重识别子集：6组（每组包含一对无人机拍摄的视频）（自定义格式）
检测子集：320张图像（支持COCO、YOLO格式）