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Online Multi-Object Tracking datasets
archive 2025-07-28
10 datasets carry the task tag "Online Multi-Object Tracking" (the task itself: Online Multi-Object Tracking), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Online Multi-Object Tracking datasets 1–10 of 10
MOT17 (Multiple Object Tracking 17)
The Multiple Object Tracking 17 (MOT17) dataset is a dataset for multiple object tracking.
291 papers · 2 benchmarks
The MOTChallenge datasets are designed for the task of multiple object tracking.
192 papers · 0 benchmarks
MOT16 (Multiple Object Tracking 2016)
The MOT16 dataset is a dataset for multiple object tracking.
149 papers · 2 benchmarks
MOT15 (Multiple Object Tracking 15)
MOT2015 is a dataset for multiple object tracking.
67 papers · 5 benchmarks
SportsMOT (SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes)
Motivation Multi-object tracking (MOT) is a fundamental task in computer vision, aiming to estimate objects (e.g., pedestrians and vehicles) bounding boxes and identities in video sequences.
32 papers · 3 benchmarks
MMPTRACK (Multi-camera Multiple People Tracking Dataset)
Multi-camera Multiple People Tracking (MMPTRACK) dataset has about 9.6 hours of videos, with over half a million frame-wise annotations.
6 papers · 1 benchmark
BEE23 (Multi-bee Tracking Benchmark)
We collected 32 videos that record bee colony activity from different periods on several sunny days.
2 papers · 0 benchmarks
CholecTrack20 (Multi-Perspective Multi-Class Multi-Object Tracking Dataset For Surgical Tools)
CholecTrack20 is a surgical video dataset focusing on laparoscopic cholecystectomy and designed for surgical tool tracking, featuring 20 annotated videos.
2 papers · 0 benchmarks
PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras, collected from sources where we were given the rights to redistribute the content and participants have given…
2 papers · 1 benchmark
The Oxford Town Center dataset is a 5-minute video with 7500 frames annotated, which is divided into 6500 for training and 1000 for testing data for pedestrian detection.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.