{"url":"/dataset/panda","name":"PANDA","full_name":null,"description_markdown":"PANDA is the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapixel camera and cover real-world scenes with both wide field-of-view (~1 square kilometer area) and high-resolution details (~gigapixel-level/frame). The scenes may contain 4k head counts with over 100x scale variation. PANDA provides enriched and hierarchical ground-truth annotations, including 15,974.6k bounding boxes, 111.8k fine-grained attribute labels, 12.7k trajectories, 2.2k groups and 2.9k interactions.\r\n\r\nSource: [PANDA: A Gigapixel-level Human-centric Video Dataset](/paper/panda-a-gigapixel-level-human-centric-video)","description_withheld":null,"homepage":"http://www.panda-dataset.com/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/panda-a-gigapixel-level-human-centric-video","title":"PANDA: A Gigapixel-level Human-centric Video Dataset","first_author":"Xueyang Wang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Human Detection","url":"/task/human-detection","datasets_with_task":"/datasets/task/human-detection"}],"languages":[],"variants":["PANDA"],"data_loaders":[],"num_papers_in_archive":15,"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."}