{"url":"/dataset/tapvid-3d-a-benchmark-for-tracking-any-point","name":"TAPVid-3D: A Benchmark for Tracking Any Point in 3D","full_name":null,"description_markdown":"TAPVid-3D is a dataset and benchmark for evaluating the task of long-range Tracking Any Point in 3D (TAP-3D). The dataset consists of 4,000+ real-world videos and 2.1 million metric 3D point trajectories, spanning a variety of object types, motion patterns, and indoor and outdoor environments.","description_withheld":null,"homepage":"https://tapvid3d.github.io/","introduced_date":"2024-07-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/tapvid-3d-a-benchmark-for-tracking-any-point","title":"TAPVid-3D: A Benchmark for Tracking Any Point in 3D","first_author":"Skanda Koppula","url":null},"license":{"name":"Apache 2.0, with additional restrictions","url":"https://github.com/google-deepmind/tapnet/blob/main/tapnet/tapvid3d/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Point Tracking","url":"/task/point-tracking","datasets_with_task":"/datasets/task/point-tracking"}],"languages":[],"variants":["TAPVid-3D: A Benchmark for Tracking Any Point in 3D"],"data_loaders":[],"num_papers_in_archive":2,"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."}