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1. Product fit
Start from catalog, sample or custom need
Clarify whether the buyer needs an existing dataset, an evaluation sample, a commercial license or a new capture sprint.
Workflow
From dataset request to reviewed delivery
The workflow now supports both catalog datasets and custom capture: sample requests stay short, commercial access is reviewed, and new production work gets a full capture plan.
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2. Scope and rights
Define permitted use and deliverables
Align the request with participant rights, the applicable dataset license, intended use and delivery requirements.
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3. Capture protocol
Plan production when new data is needed
Define prompts, actions, repetitions, camera setup, visual controls, participants, releases and QA criteria.
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4. Controlled production
Capture real human visual data
Run the session with briefing, framing, lighting, audio when needed, action repeatability and on-set checks.
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5. QA and packaging
Turn media into a dataset product
Review files, remove rejects and prepare manifests, metadata, checksums, documentation and buyer-facing previews.
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6. Reviewed delivery
Share access only after approval
Send sample or commercial access after the appropriate request, license acceptance and delivery review are complete.
What the workflow is built to avoid
- Unclear product scope
- Sample and commercial packages mixed together
- Unlicensed participant media
- Uncontrolled access to source media
- Unreviewed takes leaving production
- Delivery without manifests, checksums or terms