ENT-00000715 · Research System

ImageNet

ImageNet is a documented research system associated with ImageNet.

Level IV — ConnectedActiveDocumented

Human readable record

Overview

ImageNet is documented as a research system, benchmark, dataset or scientific AI record associated with ImageNet. It is relevant for large-scale image dataset foundational to computer vision progress. The record helps situate evaluation, discovery, training evidence or scientific capability in the registry graph.

Timeline

2009ImageNet public reference
ImageNet is publicly documented in relation to ImageNet.

Capabilities

Research evaluation or discoveryScientific or benchmark utilityStructured evidence generationModel or system analysis

Known limitations

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.

Technical and registry detail

Technical description

Structured record for ImageNet. The technical layer identifies entity type Research System, organization ImageNet, source anchor https://www.image-net.org/, capability fields, limitation fields, timeline event, source records, tags (ImageNet, Research System, Research) and graph relationships for machine-readable registry integration.

Controlled tags

ImageNetResearch SystemResearchcomputer

Relationship graph

ImageNet

Creator or DeveloperStanford / Princeton

Stanford / Princeton is identified as a creator, developer or originating actor for ImageNet.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00000715",
    "name": "ImageNet",
    "alternateName": [],
    "additionalType": "Research System",
    "description": "ImageNet is a documented research system associated with ImageNet.",
    "creator": "Stanford / Princeton",
    "url": "entity.php?id=ENT-00000715",
    "sameAs": "https://www.image-net.org/",
    "lxkeysWorld": {
        "classification": "computer vision dataset",
        "organization": "ImageNet",
        "originContext": "Dataset",
        "firstPublicAppearance": "2009",
        "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": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Research evaluation or discovery",
            "Scientific or benchmark utility",
            "Structured evidence generation",
            "Model or system analysis"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "ImageNet",
            "Research System",
            "Research",
            "computer"
        ],
        "timeline": [
            {
                "date": "2009",
                "title": "ImageNet public reference",
                "description": "ImageNet is publicly documented in relation to ImageNet."
            }
        ],
        "relationships": [
            {
                "target": "Stanford / Princeton",
                "type": "Creator or Developer",
                "description": "Stanford / Princeton is identified as a creator, developer or originating actor for ImageNet.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "ImageNet official reference",
                "url": "https://www.image-net.org/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}

Proof and discussion layer

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