{"url":"/dataset/vot2016","name":"VOT2016","full_name":"VOT2016","description_markdown":"**VOT2016** is a video dataset for visual object tracking. It contains 60 video clips and 21,646 corresponding ground truth maps with pixel-wise annotation of salient objects.\r\n\r\nSource: [Video Saliency Detection by 3D Convolutional Neural Networks](https://arxiv.org/abs/1807.04514)\r\nImage Source: [https://www.researchgate.net/profile/Mohamed_Abdelpakey/publication/327850473/figure/fig3/AS:674547829338114@1537836143562/Visual-results-on-VOT2016-data-set-for-four-sequences.png](https://www.researchgate.net/profile/Mohamed_Abdelpakey/publication/327850473/figure/fig3/AS:674547829338114@1537836143562/Visual-results-on-VOT2016-data-set-for-four-sequences.png)","description_withheld":null,"homepage":"https://www.votchallenge.net/vot2016/dataset.html","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"The Visual Object Tracking VOT2016 Challenge Results","first_author":null,"url":"https://doi.org/10.1007/978-3-319-48881-3_54"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Visual Object Tracking","url":"/task/visual-object-tracking","datasets_with_task":"/datasets/task/visual-object-tracking"}],"languages":[],"variants":["VOT-2016","VOT2016"],"data_loaders":[{"repo":"https://github.com/baoxinchen/siammask_e","url":"https://github.com/baoxinchen/siammask_e","frameworks":["tf"]}],"num_papers_in_archive":113,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-object-tracking-on-vot2016","task":"Visual Object Tracking","dataset_variant":"VOT2016","rows":6,"metrics":["Expected Average Overlap (EAO)"],"first_row_in_archive_order":{"model":"SiamMask_E","paper":"/paper/fast-visual-object-tracking-with-rotated","metrics":{"Expected Average Overlap (EAO)":"0.466"},"code_links":[{"title":"baoxinchen/siammask_e","url":"https://github.com/baoxinchen/siammask_e"}]},"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/fast-visual-object-tracking-with-rotated","title":"Fast Visual Object Tracking with Rotated Bounding Boxes","date":"2019-07-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"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/deeper-and-wider-siamese-networks-for-real","title":"Deeper and Wider Siamese Networks for Real-Time Visual Tracking","date":"2019-01-07","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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/good-features-to-correlate-for-visual","title":"Good Features to Correlate for Visual Tracking","date":"2017-04-20","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":15,"samples_ran":4,"samples_unverified":11,"pointer_only_for_licence":11,"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."}