{"url":"/dataset/acinoset","name":"AcinoSet","full_name":null,"description_markdown":"**AcinoSet** is a dataset of free-running cheetahs in the wild that contains 119,490 frames of multi-view synchronized high-speed video footage, camera calibration files and 7,588 human-annotated frames. The authors utilized markerless animal pose estimation with DeepLabCut to provide 2D keypoints (in the 119K frames). It also includes 3D trajectories, human-checked 3D ground truth, and an interactive tool to inspect the data.","description_withheld":null,"homepage":"https://github.com/African-Robotics-Unit/AcinoSet","introduced_date":"2021-03-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/acinoset-a-3d-pose-estimation-dataset-and","title":"AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild","first_author":"Daniel Joska","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["AcinoSet"],"data_loaders":[{"repo":"https://github.com/African-Robotics-Unit/AcinoSet","url":"https://github.com/African-Robotics-Unit/AcinoSet","frameworks":[]}],"num_papers_in_archive":6,"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."}