B2B motion data

Ready-to-Use Motion & Pose Datasets for AI Training

Train your AI on real hand motion data — ready in minutes. ML-ready JSONL, optional per-frame action taxonomy (metadata/actions.csv), hand–object hints, optional camera_pov (first/third person), buyer_marketing blocks in features.json / global_stats.json, ONEPAGER + README in every ZIP, and a PyTorch loader snippet — plus runtime_config.json for reproducibility.

Unlike many academic datasets, Quality Vision B2B exports are intended for commercial use under your agreed license — see LICENSE_EXPORT.txt in each export and dataset licensing.

Used for robotics, AI training, and motion intelligence systems

Explore pose and motion in the browser with our Motion Viewer.

Building AI models requires high-quality motion data

  • Collecting and processing motion data is slow and expensive
  • Annotation pipelines take weeks to set up
  • Raw video data is not directly usable
  • Inconsistent formats slow down training pipelines

Technical terminology (exports)

Exports include ONEPAGER.md, README_dataset.md, and (for hand jobs) aggregate.buyer_marketing in features.json plus matching copy in global_stats.json. Per-frame action labels and metadata/actions.csv, optional camera_pov and hand–object hints, Dexterous Hand analytics, optional CSV / COCO-like keypoints, examples/README_PYTORCH.md, and runtime_config.json for augmentation reproducibility.

Locomotion (walking, jogging, running) and hand-centric jobs use the same packaging; pipeline mode determines keypoint count and optional dexterous fields — not a separate "report tier" for walking vs hands.

Sample datasets & open listings

Free samples and mirrors for evaluation. Full commercial exports are described on dataset pricing.

Read the technical whitepaper (print / save as PDF)

Solution

We deliver ready-to-use motion datasets

QualityVision provides structured, high-quality pose datasets that can be directly integrated into your AI workflows.

  • 33 keypoints (MediaPipe-compatible format)
  • Temporal smoothing (Gaussian filtering)
  • Body normalization (hip-centered)
  • Motion features (velocity proxies, gait signals)
  • Clean JSONL format
  • Quality reports & diagnostics included
Dataset pricing

Dataset Specifications

Format

JSONL (ready for ML pipelines)

Keypoints

33 landmarks per frame

Motion features

Velocity, temporal consistency, sequence metrics

Quality filtering

Accepted / rejected frames with reports

Dataset size

From 10K to 500K+ frames

Delivery

Instant (existing datasets) or 24–48h (custom)

Use Cases

Humanoid robotics trainingMotion prediction modelsGame animation systemsSports & biomechanics analysisAI research & computer vision

Custom datasets from your own videos

We process your proprietary videos and deliver structured pose datasets within 24–48 hours.

  • Upload your videos
  • We extract pose + motion features
  • You receive clean, structured datasets
  • No pipeline setup required

Scale your data over time

Start with a small dataset and scale into a continuous data pipeline.

  • Weekly / monthly dataset delivery
  • Growing datasets over time
  • Long-term data partnerships
  • Flexible volume (50K → 500K+ frames)

What we deliver for enterprise & research buyers

We provide structured motion exports — JSONL, manifests, quality and diagnostics files, optional CSV/COCO-style keypoints, and documented augmentation parameters — for teams building perception, animation, or analytics products. The list below names illustrative sectors and example organizations that commonly invest in motion data; not partnerships or endorsements.

Autonomous systems

Example firms: Waymo, Tesla, Cruise, Aurora, Mobileye, Motional, Pony.ai, WeRide, Nuro, Gatik, Oxbotica, Wayve, Waabi, Kodiak, and others in AV / truck autonomy.

Robotics & automation

Example firms: Boston Dynamics, Agility Robotics, Unitree, ANYbotics, Ghost Robotics, 1X Technologies, Clearpath, Robotiq, Starship, Zipline, and similar robotics vendors.

AI / data platforms

Example firms: Scale AI, Appen, Labelbox, Sama, Defined.ai, Snorkel AI, Roboflow, and adjacent ML data tooling — as reference categories for data-intensive teams.

Gaming & simulation

Example firms: Unity, Epic Games, EA, Ubisoft, Rockstar — typical consumers of motion and retargeting datasets.

Whitepaper-style documentation: use the sample links above and dataset licensing for procurement; contact info@qvision.space for volume and custom exports.

Built for AI and robotics teams

Designed for teams working on real-world AI systems and motion intelligence.

AI companiesRobotics labsGame studiosResearch teams

Ready to accelerate your AI training?

Commercial licensing available for internal AI training and product development.