E
ENT-00001941 · AI Dataset

Ego4D

Ego4D is a egocentric video dataset associated with Meta AI.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

Ego4D is a documented AI dataset or benchmark associated with Meta AI. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

  1. 2021Ego4D public documentation anchor

    Ego4D appears in public documentation or stable reference sources as a egocentric video dataset associated with Meta AI.

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for Ego4D. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://ego4d-data.org/.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph
Ego4D
Published byMeta AI

Ego4D is associated with Meta AI through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001941",
    "name": "Ego4D",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "Ego4D is a egocentric video dataset associated with Meta AI.",
    "creator": "Meta AI and consortium",
    "url": "entity.php?id=ENT-00001941",
    "sameAs": "https://ego4d-data.org/",
    "lxkeysWorld": {
        "classification": "egocentric video dataset",
        "organization": "Meta AI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:29+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data resource",
            "Evaluation support",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2021",
                "title": "Ego4D public documentation anchor",
                "description": "Ego4D appears in public documentation or stable reference sources as a egocentric video dataset associated with Meta AI."
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Published by",
                "description": "Ego4D is associated with Meta AI through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Ego4D site",
                "url": "https://ego4d-data.org/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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