{"url":"/dataset/sompt22","name":"SOMPT22","full_name":"Surveillance Oriented Multi-Pedestrian Tracking Dataset (SOMPT22)","description_markdown":"**SOMPT22** is a multi-object tracking (MOT) benchmark focused on *surveillance-style pedestrian tracking*.\r\n\r\n* **22 long video sequences** (static pole-mounted cameras, 6 – 8 m height)  \r\n* ~51 k annotated frames with **bounding boxes + unique track IDs**  \r\n* Outdoor scenes with illumination changes, partial occlusions and appearance similarity  \r\n* Single class: *person*  \r\n* Split files ready for training/validation and standard MOT evaluation tools\r\n\r\nSOMPT22 aims to complement generic MOTChallenge-style datasets by stressing **long-term ID maintenance under sparse-to-medium crowd density** instead of dense, short clips.\r\n\r\n*Homepage → https://sompt22.github.io*  \r\n*Download → Google Drive link in the homepage*  \r\n*Citation →*  \r\n```bibtex\r\n@misc{simsek2022sompt22,\r\n  author  = {Simsek, Fatih Emre and Cigla, Cevahir and Kayabol, Koray},\r\n  title   = {SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset},\r\n  year    = {2022},\r\n  eprint  = {2208.02580},\r\n  archivePrefix = {arXiv},\r\n  primaryClass  = {cs.CV}\r\n}","description_withheld":null,"homepage":"https://sompt22.github.io/","introduced_date":"2022-08-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/sompt22-a-surveillance-oriented-multi","title":"SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset","first_author":"Fatih Emre Simsek","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Multiple Object Tracking","url":"/task/multiple-object-tracking","datasets_with_task":"/datasets/task/multiple-object-tracking"},{"name":"Multiple People Tracking","url":"/task/multiple-people-tracking","datasets_with_task":"/datasets/task/multiple-people-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SOMPT22"],"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."}