You do not always need pixels to ship
Many teams assume dataset procurement means shipping massive MP4 archives. In practice, modern pose pipelines often train and evaluate on structured landmark sequences plus diagnostics—especially when privacy, storage, or licensing makes raw video undesirable.
What you still get without the video file
- Per-frame landmarks with visibility and normalized coordinates
- Temporal structure suitable for sequence models and smoothing
- Quality signals to filter or weight frames during training
- Optional vision-side features when included by the export pipeline
Operational wins: smaller handoffs, clearer compliance
JSONL + metadata bundles are easier to version, audit, and share across collaborators than terabytes of video. They also simplify commercial terms: you can scope what is delivered as engineered exports rather than redistributing third-party footage.
When raw video is still required
If your research depends on photometric cues unavailable in landmarks alone, you may still need pixels—but many product teams can move faster by starting with pose-first exports and adding video later for niche experiments.
Get production-oriented bundles
Quality Vision publishes ready-made pose/motion bundles designed as engineered exports (not raw clip resale). Browse options and checkout links on dataset pricing, and validate integration early using the public samples linked from the same ecosystem on GitHub.
Need a custom scope?
If your roadmap needs a tailored mix of actions, frame quotas, or licensing terms, contact info@qvision.space after you have reviewed the public listings—so conversations stay specific and fast.
Dataset pricing (direct link)