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Multiple Object Tracking datasets
archive 2025-07-28
18 datasets carry the task tag "Multiple Object Tracking" (the task itself: Multiple Object Tracking), ordered by the archive's paper count. Page 1 of 1: 18 shown of 18. 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
Multiple Object Tracking datasets 1–18 of 18
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver in a wide variety of conditions.
481 papers · 16 benchmarks
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
469 papers · 16 benchmarks
The MOTChallenge datasets are designed for the task of multiple object tracking.
192 papers · 0 benchmarks
Consists of 100 challenging video sequences captured from real-world traffic scenes (over 140,000 frames with rich annotations, including occlusion, weather, vehicle category, truncation, and vehicle bounding boxes) for object detection,…
53 papers · 2 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
KITTI MOTS (KITTI Multi-Object Tracking and Segmentation (MOTS) Evaluation)
The Multi-Object and Segmentation (MOTS) benchmark [2] consists of 21 training sequences and 29 test sequences.
28 papers · 1 benchmark
RADIATE (RAdar Dataset In Adverse weaThEr)
RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera and GPS/IMU.
24 papers · 2 benchmarks
A new large-scale dataset for understanding human motions, poses, and actions in a variety of realistic events, especially crowd & complex events.
19 papers · 1 benchmark
GMOT-40 (Generic Multiple Object Tracking (GMOT))
GMOT-40 is the first public dense dataset for Generic Multiple Object Tracking (GMOT).
12 papers · 2 benchmarks
PathTrack is a dataset for person tracking which contains more than 15,000 person trajectories in 720 sequences.
9 papers · 0 benchmarks
LPW (Labeled Pedestrian in the Wild)
Labeled Pedestrian in the Wild (LPW) is a pedestrian detection dataset that contains 2,731 pedestrians in three different scenes where each annotated identity is captured by from 2 to 4 cameras.
8 papers · 0 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
CFC (Caltech Fish Counting Dataset)
Caltech Fish Counting Dataset (CFC) is a large-scale dataset for detecting, tracking, and counting fish in sonar videos.
3 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 Omni-MOT is realistic CARLA based large-scale dataset with over 14M frames for multiple vehicle tracking .
1 paper · 0 benchmarks
SOMPT22 (Surveillance Oriented Multi-Pedestrian Tracking Dataset (SOMPT22))
SOMPT22 is a multi-object tracking (MOT) benchmark focused on surveillance-style pedestrian tracking.
1 paper · 0 benchmarks
YouTube-Hands includes 240 videos which are annotated with hand trajectories.
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.