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Video Object Tracking datasets
archive 2025-07-28
13 datasets carry the task tag "Video Object Tracking" (the task itself: Video Object Tracking), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. 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
Video Object Tracking datasets 1–13 of 13
GOT-10k (Generic Object Tracking Benchmark)
The GOT-10k dataset contains more than 10,000 video segments of real-world moving objects and over 1.5 million manually labelled bounding boxes.
239 papers · 2 benchmarks
A novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production.
58 papers · 6 benchmarks
Rendered synthetically using a library of standard 3D objects, and tests the ability to recognize compositions of object movements that require long-term reasoning.
51 papers · 3 benchmarks
NT-VOT211 consists of 211 diverse videos, offering 211,000 well-annotated frames with 8 attributes including camera motion, deformation, fast motion, motion blur, tiny target, distractors, occlusion and out-of-view.
41 papers · 1 benchmark
The Visual Object Tracking (VOT) dataset is a collection of video sequences used for evaluating and benchmarking visual object tracking algorithms.
36 papers · 0 benchmarks
VOT2014 (Visual Object Tracking Challenge 2014)
The dataset comprises 25 short sequences showing various objects in challenging backgrounds.
12 papers · 1 benchmark
BL30K is a synthetic dataset rendered using Blender with ShapeNet's data.
11 papers · 0 benchmarks
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
TREK-150 is a benchmark dataset for object tracking in First Person Vision (FPV) videos composed of 150 densely annotated video sequences.
7 papers · 0 benchmarks
VideoCube is a high-quality and large-scale benchmark to create a challenging real-world experimental environment for Global Instance Tracking (GIT).
6 papers · 1 benchmark
The evaluation of object detection models is usually performed by optimizing a single metric, e.g.
5 papers · 1 benchmark
SOTVerse is a user-defined task space of single object tracking.
1 paper · 0 benchmarks
VISEM-Tracking is a dataset consisting of 20 video recordings of 30s of spermatozoa with manually annotated bounding-box coordinates and a set of sperm characteristics analyzed by experts in the domain.
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.