{"url":"/dataset/bucktales","name":"BuckTales","full_name":"A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes","description_markdown":"The first and large scale dataset to solve multi-object tracking and Re-identification problem with wild animals using UAVs. \r\n\r\nThe dataset provides annotations for object detection, multi-object tracking and re-identification. \r\nObject detection dataset is specific for MOT problem : 320 Images \r\nMOT : 12 videos (21K frames) of 5.4K resolution, avg length 66 sec (Total : 1.2 Million) \r\nLongest video in MOT is 3 min (5800)\r\nEach video has 30-130 animals with different types of clusters and fast/slow movements. \r\nTotal tracks : 680 \r\n\r\nRe-Identification  (video) :  \r\n730 Individuals records from two different drones simultaneuously in 11 video pairs. \r\nVideo length = 600 - 1100 frames.","description_withheld":null,"homepage":"https://edmond.mpg.de/dataset.xhtml?persistentId=doi:10.17617/3.JCZ9WK","introduced_date":"2024-11-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/bucktales-a-multi-uav-dataset-for-multi","title":"BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes","first_author":"Hemal Naik","url":null},"license":{"name":"CCO","url":null},"modalities":[],"tasks":[{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"},{"name":"Drone-view target localization","url":"/task/drone-view-target-localization","datasets_with_task":"/datasets/task/drone-view-target-localization"},{"name":"erson Re-Identification","url":"/task/erson-re-identification","datasets_with_task":"/datasets/task/erson-re-identification"}],"languages":[],"variants":["BuckTales"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}