Fiund / Dataset directory
A directory for a specific data need.
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.
Browse the category
Start with the intended use.
| Source focus | Project definition | Sourcing status |
|---|---|---|
| First-person data for activity understanding | Scope complete activities, temporal context, and viewpoint coverage for egocentric perception. | Project-specific review |
| Egocentric data for hand and object interaction | Define visibility, contact, object state, and action labels around practical manipulation. | Project-specific review |
| First-person workplace procedure datasets | Plan process recordings around real steps, permitted capture areas, and visible outcomes. | Project-specific review |
| Egocentric data for temporal reasoning and memory | Source contextual first-person sequences for event retrieval, ordering, and evidence-based answers. | Project-specific review |
| Evaluation sets for first-person perception | Build a reviewable benchmark around unseen scenes, difficult views, and explicit answer rules. | Project-specific review |
This directory describes sourcing options and specification questions. It is not a live inventory or a promise of available files, volume, samples, or cleared rights.
Source requirements
What belongs in the specification.
Viewpoint
Head-mounted, chest-mounted, or another participant-centered view; describe acceptable camera movement.
Task coverage
Action list, sequence length, successful and unsuccessful attempts, and variation between participants.
Capture details
Resolution, frame rate, field of view, audio policy, and any requirements for time alignment.
Annotation
Action boundaries, object references, task descriptions, and the level of detail needed for evaluation.
Project workflow
A reviewable route to a dataset.
Define the target
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.
Write the specification
Tasks and environments; Camera placement and visibility; Target hours or sequences; Annotations and intended model use; Rights requirements and timeline. These details establish the project’s review criteria and reveal where further clarification is needed.
Review sourcing fit
Discuss which existing sources or collection approaches could address the brief. Identify access constraints, source documentation, and unanswered permission questions before treating a category as usable inventory.
Inspect representative material
Where appropriate material can be shared, agree on handling and inspect it against the specification. Record defects, coverage gaps, and annotation questions against exact source identifiers.
Agree the project scope
Confirm the selected material, intended uses, preparation work, acceptance criteria, commercial terms, and delivery arrangements in a project-specific agreement.
Review the handoff
Check file references, manifests, documented processing, and accepted exceptions. Keep permission review and technical acceptance explicit, and resolve open issues before the collection is treated as approved for the intended use.
Common questions
Before you source.
Is egocentric video the same as robot demonstration data?
No. A participant’s camera can show a human performing a task without recording robot actions or control signals. Tell us if you need synchronized robot state, action data, or other sensors; video alone should not be treated as a substitute.
Can I request a particular workplace or activity?
Yes, include it in your inquiry. Fiund will review sourcing feasibility, access, participant permissions, and capture constraints before discussing a suitable collection.
Is a dataset ready to download here?
This site is a sourcing inquiry point. Availability, samples, permitted uses, and delivery details are established for the specific project, rather than promised by the category page.