{"url":"/dataset/ag-vpreid","name":"AG-VPReID","full_name":"AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification","description_markdown":"The largest aerial-ground video dataset with 6,632 identities, 32,321 tracklets, and 9.6 million frames\r\nMultiple platforms combining aerial drones (at various altitudes: 15m, 30m, 80m, 120m), CCTV cameras, and wearable cameras\r\nRich annotations including clothing changes and 15 soft-biometric attributes\r\nReal-world challenges including extreme viewpoint variations, scale differences, and occlusions\r\nDiverse environments with outdoor campus scenes captured over 20 days","description_withheld":null,"homepage":"https://github.com/agvpreid25/AG-VPReID-Net","introduced_date":"2025-03-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/ag-vpreid-a-challenging-large-scale-benchmark","title":"AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification","first_author":"Huy Nguyen","url":null},"license":null,"modalities":[],"tasks":[{"name":"Video-Based Person Re-Identification","url":"/task/video-based-person-re-identification","datasets_with_task":"/datasets/task/video-based-person-re-identification"}],"languages":[],"variants":["AG-VPReID"],"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":"2026-09-25T09:33:49+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."}