Better data starts with
a better brief.

Practical guides to sourcing, recording and structuring human video for physical AI.

Buying data

A buyer’s guide to human video datasets

What makes a human video dataset useful for physical AI, how to evaluate fit for your task, and the key details to align on before you buy.

Data standards

Understand the differences between human first-person video and robot demonstrations, including viewpoints, actions, timing and training uses.

5 min read

Data standards

Define action boundaries, vocabulary and uncertainty so temporal video annotations can support a clear training or evaluation objective.

4 min read

Buying data

Check video integrity, task visibility, annotation meaning, dataset coverage and provenance before using a collection for model training.

5 min read

Data standards

Build a usable video delivery with clear timestamps, structured annotations, provenance and honest checksum verification.

4 min read

Data standards

Understand recording rights, participant consent, workplace permission and license evidence before sharing video for AI training.

5 min read

Buying data

Follow a category purchase from approved footage and frozen order selection to exact cent allocation and confirmed payment.

4 min read

Contributing

Capture complete everyday actions with clear viewpoints, practical task descriptions, privacy checks and useful temporal annotations.

5 min read

Describe the task, capture viewpoint and annotation requirements for your project.