{"url":"/dataset/otb-2013","name":"OTB-2013","full_name":null,"description_markdown":"OTB2013 is the previous version of the current OTB2015 Visual Tracker Benchmark. It contains only 50 tracking sequences, as opposed to the 100 sequences in the current version of the benchmark.\r\n\r\nSource: [Marvasti-Zadeh](https://arxiv.org/abs/2004.01382)","description_withheld":null,"homepage":"http://cvlab.hanyang.ac.kr/tracker_benchmark/benchmark_v10.html","introduced_date":"2013-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/online-object-tracking-a-benchmark","title":"Online Object Tracking: A Benchmark","first_author":"Yi Wu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Visual Object Tracking","url":"/task/visual-object-tracking","datasets_with_task":"/datasets/task/visual-object-tracking"},{"name":"Visual Tracking","url":"/task/visual-tracking","datasets_with_task":"/datasets/task/visual-tracking"}],"languages":[],"variants":["OTB-2013"],"data_loaders":[],"num_papers_in_archive":110,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-object-tracking-on-otb-2013","task":"Visual Object Tracking","dataset_variant":"OTB-2013","rows":7,"metrics":["AUC"],"first_row_in_archive_order":{"model":"SE-SiamFC","paper":"/paper/scale-equivariance-improves-siamese-tracking","metrics":{"AUC":"0.68"},"code_links":[{"title":"isosnovik/SiamSE","url":"https://github.com/isosnovik/SiamSE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/visual-tracking-on-otb-2013","task":"Visual Tracking","dataset_variant":"OTB-2013","rows":1,"metrics":["AUC"],"first_row_in_archive_order":{"model":"SiamFC-lu (Ours)","paper":"/paper/learning-to-update-for-object-tracking-with","metrics":{"AUC":"0.657"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scale-equivariance-improves-siamese-tracking","title":"Scale Equivariance Improves Siamese Tracking","date":"2020-07-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":1,"samples_unverified":11,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/siamvgg-visual-tracking-using-deeper-siamese","title":"SiamVGG: Visual Tracking using Deeper Siamese Networks","date":"2019-02-07","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/learning-to-update-for-object-tracking-with","title":"Learning to Update for Object Tracking with Recurrent Meta-learner","date":"2018-06-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-attentions-residual-attentional","title":"Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking","date":"2018-06-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/a-twofold-siamese-network-for-real-time","title":"A Twofold Siamese Network for Real-Time Object Tracking","date":"2018-02-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-dynamic-siamese-network-for-visual","title":"Learning Dynamic Siamese Network for Visual Object Tracking","date":"2017-10-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/end-to-end-representation-learning-for","title":"End-to-end representation learning for Correlation Filter based tracking","date":"2017-04-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/fully-convolutional-siamese-networks-for-1","title":"Fully-Convolutional Siamese Networks for Object Tracking","date":"2016-06-30","rows_on_this_dataset":1,"code_links":10,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":15,"samples_ran":1,"samples_unverified":14,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":2,"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."}