{"url":"/dataset/arkittrack","name":"ARKitTrack","full_name":null,"description_markdown":"**ARKitTrack** is a new RGB-D tracking dataset for both static and dynamic scenes captured by consumer-grade LiDAR scanners equipped on Apple's iPhone and iPad. ARKitTrack contains 300 RGBD sequences, 455 targets, and 229.7K video frames in total. This dataset has 123.9K pixel-level target masks along with the bounding box annotations and frame-level attributes.\r\n\r\nSource: [ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data](https://arxiv.org/pdf/2303.13885v1.pdf)\r\n\r\nImage Source: [ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data](https://arxiv.org/pdf/2303.13885v1.pdf)","description_withheld":null,"homepage":"https://arkittrack.github.io","introduced_date":"2023-03-24","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT License","url":"https://github.com/lawrence-cj/ARKitTrack/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Visual Tracking","url":"/task/visual-tracking","datasets_with_task":"/datasets/task/visual-tracking"}],"languages":[],"variants":["ARKitTrack"],"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":"2026-09-24T18:15:14+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."}