datai.

Real-world activity video data

Turn an activity that does not fit a standard category into a clear video collection brief with observable tasks, useful context and explicit limits.

Some useful physical activities do not fit a familiar workplace or household category. A specialist hobby, a preparation routine or an unusual object interaction can still support a focused research question. The other category should be a starting point for defining that question, rather than a container for unrelated footage.

Describe one coherent activity in plain language. Explain the initial arrangement, what the participant is trying to do and what a viewer could observe at the end. If the category remains broad, test a small pilot and refine the task vocabulary before expanding the collection.

Tasks to include in the brief

Setting up a board game

Capture arranging approved pieces, selecting objects and checking the setup. This can support sequence understanding without collecting a whole play session or inferring a participant’s strategy from sparse observations.

Preparing a music workspace

Show arranging permitted accessories and materials before a rehearsal. Keep the brief focused on visible preparation; ordinary video analysis does not measure musical correctness or interpret an unheard performance.

Assembling a personal activity kit

Record selecting familiar, non-sensitive items and placing them in an organizer. Define the intended contents separately so a missing item can be distinguished from a different valid kit.

Documenting a new object interaction

Choose a small approved task with a clear source, action and destination. Capture an ordinary retry or incomplete result when it occurs, without creating risk or damage to manufacture variety.

Capture requirements

  • Begin with a short, complete example that another person can understand without local jargon. Provide specialist names as declared context instead of relying on the model to guess them.
  • Choose framing around the actual interaction. A fixed view may preserve object layout; a declared first-person view may better show selection and hand movements. Neither is universally preferable.
  • Identify the variations worth collecting: object shape, arrangement, participant technique or setting. Avoid mixing unrelated tasks merely to increase the apparent size of the category.
  • Define an observable positive outcome and a meaningful incomplete one. If completion depends on hidden information, provide an authorized reference or mark the outcome uncertain.

Useful annotation layers

  • Start with a small verb-object vocabulary and plain-language descriptions. Revise ambiguous terms after the pilot, preserving the vocabulary version used for each annotation batch.
  • Contributor context can explain the goal and specialist object names. Generated observations should remain separate, especially when the footage does not confirm the declared identity or outcome.
  • The baseline description and temporal-action layer does not invent sound analysis, calibrated motion, ownership evidence or domain expertise. Any specialist measurement or annotation needs its own scope and evaluation.

Permissions, boundaries and exclusions

  • Exclude activities involving sensitive personal information, unauthorized people, private account screens or materials whose recording rights are unclear. An unusual task still needs a defined permission boundary.
  • Do not propose hazardous experiments, unfamiliar tool use or activities requiring special authorization as casual capture tasks. Limit recording to appropriate, already permitted routines.
  • Avoid presenting the category as evidence of immediate supply or specialist capability. Its purpose is to qualify a collection need and decide what can be captured and described responsibly.

Turn a clear brief into useful footage.

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

Discuss your dataset →Explore the marketplace →