Case study

Egocentric and household data project

First-person and household activity data for robotics, embodied AI and multimodal models.

Client challenge

Needed first-person video and household activity data with spoken narration to train robotics and embodied AI models.

Data requirements

Egocentric video, human-object interaction, household tasks, narration and spoken descriptions, task-based collection and custom annotation.

Our approach

Task protocol design, participant recruitment and consent, first-person video collection, narration capture and multi-level QA.

Data modality

First-person / egocentric video, household activities, human-object interaction, narration and spoken descriptions.

Quality process and outcome

Annotator

Captures first-person video and narration per task protocol.

Reviewer

Validates task segmentation, interaction labels and narration accuracy.

Senior QA

Final validation against acceptance thresholds before delivery.

Discuss your data project

Describe your task set, environment and annotation requirements.

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