# Data Egocentric

> Source egocentric video datasets for embodied AI, activity understanding, and first-person perception. Discuss your capture and licensing requirements with Fiund.

An egocentric dataset records an activity from the participant’s point of view. A useful sourcing brief goes beyond hours of footage: it defines the task, camera position, visible interactions, and conditions the model must learn to handle. Data Egocentric is a Fiund sourcing site for teams exploring this category.

Operated by Fiund. Contact: jaeden@fiund.com. Source fit, inventory, permissions, pricing, and delivery require project-specific review.

## Pages

- [Data Egocentric | Dataset sourcing by Fiund](https://dataegocentric.com/): Source egocentric video datasets for embodied AI, activity understanding, and first-person perception. Discuss your capture and licensing requirements with Fiund.
- [Real photography and recordings | Data Egocentric](https://dataegocentric.com/media/): Real studio photographs, recording frames, video clips, and source notes behind Data Egocentric.
- [Dataset directory | Data Egocentric](https://dataegocentric.com/datasets/): Browse data egocentric sourcing options, project specifications, and collection review questions with Fiund.
- [Dataset solutions | Data Egocentric](https://dataegocentric.com/solutions/): Explore task-specific data egocentric sourcing specifications.
- [Resource library | Data Egocentric](https://dataegocentric.com/resources/): Practical guides to source selection, preparation, annotation, and review for data egocentric.
- [Project pricing | Data Egocentric](https://dataegocentric.com/pricing/): Quote factors, project scope, and commercial review for data egocentric.
- [Quality and provenance | Data Egocentric](https://dataegocentric.com/quality/): Review source lineage, technical fit, annotations, and project permissions for data egocentric.
- [Discuss a dataset project | Data Egocentric](https://dataegocentric.com/contact/): Send your data egocentric project brief directly to Jaeden at Fiund.
- [How dataset sourcing works | Data Egocentric](https://dataegocentric.com/how-it-works/): From a data egocentric project brief to a defined specification and reviewable delivery.
- [About this Fiund sourcing site | Data Egocentric](https://dataegocentric.com/about/): Meet the purpose and contact behind Data Egocentric.
- [For data owners | Data Egocentric](https://dataegocentric.com/for-data-owners/): Introduce a data egocentric archive to Fiund for project-fit review.
- [Privacy and inquiries | Data Egocentric](https://dataegocentric.com/privacy/): Browsing, local brief building, and email inquiry information for Data Egocentric.
- [Website information and project scope | Data Egocentric](https://dataegocentric.com/website-terms/): The role of Data Egocentric guides, sourcing descriptions, and project-specific agreements.
- [First-person data for activity understanding | Data Egocentric](https://dataegocentric.com/solutions/first-person-activity-understanding/): Scope complete activities, temporal context, and viewpoint coverage for egocentric perception.
- [Egocentric data for hand and object interaction | Data Egocentric](https://dataegocentric.com/solutions/hand-object-interaction/): Define visibility, contact, object state, and action labels around practical manipulation.
- [First-person workplace procedure datasets | Data Egocentric](https://dataegocentric.com/solutions/workplace-procedure-video/): Plan process recordings around real steps, permitted capture areas, and visible outcomes.
- [Egocentric data for temporal reasoning and memory | Data Egocentric](https://dataegocentric.com/solutions/temporal-reasoning-and-memory/): Source contextual first-person sequences for event retrieval, ordering, and evidence-based answers.
- [Evaluation sets for first-person perception | Data Egocentric](https://dataegocentric.com/solutions/first-person-perception-evaluation/): Build a reviewable benchmark around unseen scenes, difficult views, and explicit answer rules.
- [Head-mounted or chest-mounted egocentric video? | Data Egocentric](https://dataegocentric.com/resources/head-mounted-vs-chest-mounted-video/): Compare viewpoints using the actions and evidence your model needs.
- [How to specify hand visibility in first-person datasets | Data Egocentric](https://dataegocentric.com/resources/hands-in-frame/): Turn “hands visible” into an annotation and acceptance policy.
- [Why complete task sequences matter in egocentric data | Data Egocentric](https://dataegocentric.com/resources/complete-task-sequences/): Preserve preparation, transitions, and outcomes when scoping first-person recordings.
- [Planning a workplace egocentric capture session | Data Egocentric](https://dataegocentric.com/resources/workplace-egocentric-capture-plan/): Connect process coverage to recording boundaries and practical sample review.
- [Building an action vocabulary for egocentric video | Data Egocentric](https://dataegocentric.com/resources/egocentric-action-taxonomy/): Choose labels that distinguish actions without overinterpreting the view.
- [Setting temporal boundaries for first-person actions | Data Egocentric](https://dataegocentric.com/resources/temporal-action-boundaries/): Make action starts, ends, and overlaps reviewable.
- [Scoping object state changes in egocentric datasets | Data Egocentric](https://dataegocentric.com/resources/object-state-change-video/): Request before-and-after evidence for opening, assembling, cutting, and other changes.
- [Evaluating occlusion in first-person video datasets | Data Egocentric](https://dataegocentric.com/resources/occlusion-in-first-person-video/): Treat hidden hands and objects according to the model task.
- [Reviewing camera motion in egocentric recordings | Data Egocentric](https://dataegocentric.com/resources/camera-motion-and-egocentric-quality/): Assess motion against action visibility rather than polished appearance.
- [Planning lighting coverage for egocentric video | Data Egocentric](https://dataegocentric.com/resources/lighting-variation-first-person-data/): Describe transitions and local visibility within the working scene.
- [Specifying participant variation in egocentric collections | Data Egocentric](https://dataegocentric.com/resources/participant-variation-egocentric/): Focus variation on observable behavior and deployment requirements.
- [Designing object and layout variation for first-person data | Data Egocentric](https://dataegocentric.com/resources/object-and-layout-variation/): Make variation interpretable across objects, arrangements, and task goals.
- [Should egocentric datasets include failed attempts? | Data Egocentric](https://dataegocentric.com/resources/unsuccessful-egocentric-task-attempts/): Separate outcome, execution, and visibility when recording unsuccessful tasks.
- [Continuous egocentric sessions or task clips? | Data Egocentric](https://dataegocentric.com/resources/continuous-sessions-or-task-clips/): Choose recording units that preserve the context your model will receive.
- [When audio belongs in an egocentric dataset brief | Data Egocentric](https://dataegocentric.com/resources/audio-in-egocentric-datasets/): Specify whether sound is evidence, context, or excluded material.
- [Checking timestamps in egocentric video deliveries | Data Egocentric](https://dataegocentric.com/resources/egocentric-timestamp-alignment/): Keep clips, labels, and optional sensor streams on a documented timeline.
- [What belongs in an egocentric dataset manifest? | Data Egocentric](https://dataegocentric.com/resources/egocentric-dataset-manifest/): Make sessions, clips, tasks, and capture configurations traceable.
- [Avoiding duplicate clips and session leakage | Data Egocentric](https://dataegocentric.com/resources/duplicate-clips-and-session-leakage/): Review source relationships before splitting egocentric footage.
- [Testing first-person perception in unseen environments | Data Egocentric](https://dataegocentric.com/resources/unseen-environment-egocentric-evaluation/): Define what “new environment” means before requesting evaluation footage.
- [How to review an egocentric capture pilot | Data Egocentric](https://dataegocentric.com/resources/egocentric-pilot-review/): Use a small representative review to resolve assumptions before expanding.
- [Setting recording boundaries for first-person capture | Data Egocentric](https://dataegocentric.com/resources/recording-boundaries-first-person-video/): Plan excluded content and review responsibilities before a camera moves through a scene.
- [Existing first-person footage or a new capture project? | Data Egocentric](https://dataegocentric.com/resources/existing-egocentric-archives-vs-new-capture/): Compare available context, capture control, and reviewable source documentation.
- [Why footage hours do not describe egocentric coverage | Data Egocentric](https://dataegocentric.com/resources/hours-vs-egocentric-coverage/): Compare activity, environment, and interaction coverage alongside duration.
- [Instructions, narrations, and descriptions in egocentric data | Data Egocentric](https://dataegocentric.com/resources/instructions-and-narrations-egocentric/): Keep task intent separate from what the video actually shows.
- [Combining egocentric and external camera views | Data Egocentric](https://dataegocentric.com/resources/egocentric-and-exocentric-views/): Specify whether views are paired, synchronized, and useful for the same task.
- [How to scope an egocentric data collection | Data Egocentric](https://dataegocentric.com/egocentric-data-collection-brief/): A practical brief for first-person tasks, camera placement, coverage, and review.
- [An egocentric video dataset evaluation checklist | Data Egocentric](https://dataegocentric.com/egocentric-video-dataset-checklist/): Review viewpoint, task completeness, metadata, and permitted use before selecting first-person data.

- [Complete site text](https://dataegocentric.com/llms-full.txt)