The refinement pipeline
The refinement pipeline
The ActiScale pipeline turns raw collector footage into training-ready action data in six steps: ingest, filter, segment, pose & contact, narrate & label, and QC & package to LeRobot / RLDS.
Every lab can hire people to film. Almost none can turn what they film into something a model can train on. This is where that happens.
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How does the pipeline work? Key facts
- ✓6 steps: Ingest, Filter, Segment, Pose & contact, Narrate & label, QC & package.
- ✓Automatic rejection: blur, drift, wrong-task and duplicate footage is rejected at the filter step.
- ✓Per-frame extraction: hand and body keypoints and object contact events; natural-language narration and action labels on each clip.
- ✓Output: tiered peer review, then packaged to LeRobot / RLDS and shipped.
Ingest
Video + sensor streams land with provenance and consent attached.
Filter
Blur, drift, wrong-task and duplicate footage is rejected automatically.
Segment
Continuous footage is cut into discrete, task-aligned clips.
Pose & contact
Hand and body keypoints, object contact events, extracted per frame.
Narrate & label
Natural-language narration and action labels applied to each clip.
QC & package
Tiered peer review, then packaged to LeRobot / RLDS and shipped.
See the data
What does one hour of refined data look like?
Real egocentric captures, refined into per-hand mesh, narration and action labels — the structure a model can train on.
Raw egocentric capture
Wide-FOV head-mounted video exactly as recorded — the raw input, before any refinement.
Hand mesh & narration
Per-hand mesh (blue = right, orange = left) tracked on the video, with natural-language narration and action labels.
Tool use & action labels
The same refinement on tool-use tasks across a whole room — hand mesh, narration and per-clip action labels.
Why is the refinement pipeline the product?
Automation absorbs more of the human QC as we scale, so the cost per delivered hour falls over time. The refinement — not the footage — is the defensible, valuable part.
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