Structured gameplay capture, timestamped English goal and sub-goal annotation, and dataset quality checks - managed by a game QA team.
Game and AI data programmes often need more than raw gameplay video. Useful datasets require repeatable capture, clear metadata, consistent annotation and quality checks before delivery.
GameCloud can support structured gameplay-data collection programmes by managing gameplay sessions against an agreed brief, recording the required gameplay evidence, preparing timestamped English goal and sub-goal annotations, and reviewing the resulting dataset against client-defined acceptance criteria.
Engagements can begin with a small calibration batch before scaling into larger collection requirements.
Share the target game or build, required gameplay hours, participant/profile requirements, capture workflow and annotation specification. GameCloud will convert that into a clear capture, annotation and quality-control scope.
Gameplay sessions can be performed against an agreed collection brief, including:
Where the programme uses client-provided capture software or instrumentation, GameCloud can incorporate that workflow after compatibility and setup validation.
Depending on the project requirements and compatible capture environment, collected evidence can include:
The exact collection package is defined during scoping.
Recorded gameplay can be reviewed after the session and annotated using an agreed English-language schema. Typical annotation can describe:
Annotation describes the gameplay according to the agreed specification, based on observable events and the supplied labelling rules.
Different data programmes require different taxonomies. GameCloud can work against a client-supplied annotation specification or help operationalise a supplied schema into a practical annotation workflow.
The calibration stage can be used to align label definitions, goal hierarchy, sub-goal hierarchy, timestamp rules, terminology, output structure, edge cases, acceptance criteria and reviewer expectations.
Once the annotation rules are agreed, the same structure can be applied consistently across the approved collection batch.
Send a sample workflow, annotation specification or requirement note. We will reply with a one-page project total.
Gameplay data becomes difficult to use when recordings are incomplete, annotations drift from the required schema, timestamps are inaccurate or different annotators interpret the same rule differently.
GameCloud can include a quality-control pass covering agreed checks such as:
The exact review procedure and acceptance criteria are agreed before production-scale delivery.
Share the collection requirement, capture workflow, target profiles and annotation specification.
A limited sample validates the workflow, annotation interpretation and expected effort.
Approved gameplay sessions are performed and recorded according to the agreed brief.
Recordings are labelled to the approved schema and undergo the agreed quality checks.
Approved recordings, annotations, metadata and QC information are transferred in the agreed format.
Depending on the scope, a delivery package may include:
This service can support teams working on:
GameCloud provides the capture, annotation and quality layer that supports those programmes.
Share as many of the following as are available:
Yes, where the client-provided capture workflow is compatible with the approved test environment. Setup and validation requirements should be confirmed during scoping.
Yes. A client-supplied taxonomy, examples and acceptance criteria can be incorporated into the annotation workflow after calibration.
Yes. A limited calibration batch is a practical way to align capture, annotation and quality expectations before larger-volume production.
Yes. Timestamped English goal and sub-goal labels can be prepared according to an agreed annotation specification.
Send GameCloud a sample workflow or requirement document. We can help translate the requirement into a defined capture, annotation and quality-control scope.