{"url":"/dataset/rgbd1k","name":"RGBD1K","full_name":"A Large-scale Dataset and Benchmark for RGB-D Object Tracking","description_markdown":"**RGBD1K** is a benchmark for RGB-D Object Tracking which contains 1050 sequences with about 2.5M frames in total.\r\n\r\nSource: [RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking](https://arxiv.org/pdf/2208.09787.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2208.09787.pdf](https://arxiv.org/pdf/2208.09787.pdf)","description_withheld":null,"homepage":"https://github.com/xuefeng-zhu5/RGBD1K","introduced_date":"2022-08-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/rgbd1k-a-large-scale-dataset-and-benchmark","title":"RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking","first_author":"Xue-Feng Zhu","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Visual Object Tracking","url":"/task/visual-object-tracking","datasets_with_task":"/datasets/task/visual-object-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RGBD1K"],"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."}