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Object Tracking datasets
archive 2025-07-28
69 datasets carry the task tag "Object Tracking" (the task itself: Object Tracking), ordered by the archive's paper count. Page 2 of 2: 21 shown of 69. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Object Tracking datasets 49–69 of 69
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
Digital-Twin Tracking Dataset (DTTD) is a novel RGB-D dataset to enable further research of the problem and extend potential solutions towards longer ranges and mm localization accuracy.
2 papers · 0 benchmarks
ITB (Informative Tracking Benchmark)
Informative Tracking Benchmark (ITB) is a small and informative tracking benchmark with 7% out of 1.2 M frames of existing and newly collected datasets, which enables efficient evaluation while ensuring effectiveness.
2 papers · 1 benchmark
This data set contains 775 video sequences, captured in the wildlife park Lindenthal (Cologne, Germany) as part of the AMMOD project, using an Intel RealSense D435 stereo camera.
2 papers · 0 benchmarks
MPHOI-72 (Multi-person Human-object Interaction Dataset 72)
MPHOI-72 is a multi-person human-object interaction dataset that can be used for a wide variety of HOI/activity recognition and pose estimation/object tracking tasks.
2 papers · 0 benchmarks
A classification dataset of radar spectrograms in i "ground surveillance" setting recorded with the Open Radar Initiative.
2 papers · 0 benchmarks
PESMOD (PExels Small Moving Object Detection)
The PESMOD (PExels Small Moving Object Detection) dataset consists of high resolution aerial images in which moving objects are labelled manually.
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
BioDrone is the first bionic drone-based single object tracking benchmark, it features videos captured from a flapping-wing UAV system with a major camera shake due to its aerodynamics.
1 paper · 0 benchmarks
DynOPETs is a real-world RGB-D dataset designed for object pose estimation and tracking in dynamic scenes with moving cameras.
1 paper · 0 benchmarks
Human fibrosarcoma HT1080WT (ATCC) cells at low cell densities embedded in 3D collagen type I matrices [1].
1 paper · 0 benchmarks
MobiFace is the first dataset for single face tracking in mobile situations.
1 paper · 0 benchmarks
The Omni-MOT is realistic CARLA based large-scale dataset with over 14M frames for multiple vehicle tracking .
1 paper · 0 benchmarks
In this dataset, various objects are arranged on a white table.
1 paper · 0 benchmarks
This dataset includes 3D point-cloud and 2D imagery from a flash LiDAR...
1 paper · 1 benchmark
S-ODv2 (SeaDronesSee-Object Detection v2)
SeaDronesSee-Object Detection v2 (S-ODv2) dataset contains 14,227 RGB images (training: 8,930; validation: 1,547; testing: 3,750).
1 paper · 0 benchmarks
SFU-HW-Tracks is a dataset for Object Tracking on raw video sequences that contains object annotations with unique object identities (IDs) for the High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) sequences.
1 paper · 0 benchmarks
SOTVerse is a user-defined task space of single object tracking.
1 paper · 0 benchmarks
SynoClip Dataset The SynoClip dataset is a comprehensive and standard dataset specifically designed for the video synopsis task.
1 paper · 0 benchmarks
The dataset is composed of 100 video sequences densely annotated with 60K bounding boxes, 17 sequence attributes, 13 action verb attributes and 29 target object attributes.
1 paper · 0 benchmarks
The TimberVision dataset consists of more than 2k annotated RGB images and contains a total of 51k trunk components including cut and lateral surfaces, thereby surpassing any existing dataset in this domain in terms of both quantity and…
1 paper · 0 benchmarks
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.