{"url":"/dataset/vot2013","name":"VOT2013","full_name":"Visual Object Tracking Challenge 2013","description_markdown":"The dataset comprises 16 short sequences showing various objects in challenging backgrounds. The sequences were chosen from a large pool of sequences using a methodology based on clustering visual features of object and background so that those 16 sequences sample evenly well the existing pool. The sequences were annotated by the VOT committee using axis-aligned bounding boxes.\r\n\r\n\r\nSource: [VOT2013](https://www.votchallenge.net/vot2013/dataset.html)","description_withheld":null,"homepage":"https://www.votchallenge.net/vot2013/dataset.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["VOT2013"],"data_loaders":[],"num_papers_in_archive":0,"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."}