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motion prediction datasets

archive 2025-07-28

14 datasets carry the task tag "motion prediction" (the task itself: motion prediction), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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

motion prediction datasets 1–14 of 14

The UCY dataset consist of real pedestrian trajectories with rich multi-human interaction scenarios captured at 2.5 Hz (Δt=0.4s).
170 papers · 1 benchmark
As autonomous driving systems mature, motion forecasting has received increasing attention as a critical requirement for planning.
103 papers · 0 benchmarks
The Argoverse 2 Motion Forecasting Dataset is a curated collection of 250,000 scenarios for training and validation.
39 papers · 0 benchmarks
Expi (Extreme Pose Interaction)
Extreme Pose Interaction (ExPI) Dataset is a new person interaction dataset of Lindy Hop dancing actions.
16 papers · 3 benchmarks
SinD (A Drone Dataset at Signalized Intersection in China)
The SIND dataset is based on 4K video captured by drones, providing information including traffic participant trajectories, traffic light status, and high-definition maps
14 papers · 0 benchmarks
GTA-IM Dataset (GTA Indoor Motion)
The GTA Indoor Motion dataset (GTA-IM) that emphasizes human-scene interactions in the indoor environments.
11 papers · 2 benchmarks
A self-driving dataset for motion prediction, containing over 1,000 hours of data.
7 papers · 0 benchmarks
NTU RGB+D 2D is a curated version of NTU RGB+D often used for skeleton-based action prediction and synthesis.
7 papers · 1 benchmark
Covers 5 generic driving scenarios, with a total of 25 distinct action classes.
4 papers · 0 benchmarks
CITR & DUT (CITR dataset and DUT dataset)
Consists of two pedestrian trajectory datasets, CITR dataset and DUT dataset, so that the pedestrian motion models can be further calibrated and verified, especially when vehicle influence on pedestrians plays an important role.
3 papers · 0 benchmarks
I2-2000FPS is the first high-speed video dataset offering an unprecedented temporal resolution of 2000 frames per second (fps).
2 papers · 0 benchmarks
Occ-Traj120 is a trajectory dataset that contains occupancy representations of different local-maps with associated trajectories.
2 papers · 0 benchmarks
This dataset is a result of a study that was created to assess drivers behaviors when following a lead vehicle.
1 paper · 0 benchmarks
The Freiburg Street Crossing dataset consists of data collected from three different street crossings in Freiburg, Germany; ; two of which were traffic light regulated intersections and one a zebra crossing without traffic lights.
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.