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

DOI

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)

Identifier
DOI https://doi.org/10.17617/3.JCZ9WK
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.JCZ9WK
Provenance
Creator naik, Hemal; Junran yang; Das, Dipin; Crofoot, Margaret; Rathore, Akanksha; Sridhar, Vivek Hari
Publisher Edmond
Publication Year 2024
OpenAccess true
Contact hnaik(at)ab.mpg.de
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other