VG
ENT-00002111 · AI System

VGGNet

VGGNet is a AI system associated with University of Oxford, classified in LXKeys.world as Specialized AI System.

Level V PersistentActiveDocumented
Human record

Overview

VGGNet is an AI model or research system associated with University of Oxford. It is documented as deep convolutional network architecture.

Timeline

  1. 2014First public appearance

    VGGNet entered the documented public record in 2014. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

AI-enabled task executionModel or workflow integrationInput/output transformationPublic system documentation

Known limitations

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for VGGNet. Entity type: AI System; classification: Specialized AI System; creator/organization context: Visual Geometry Group. Canonical source anchor: https://www.robots.ox.ac.uk/~vgg/research/very_deep/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

AI HistoryResearch SystemMachine LearningHistorical
Relationship graph

VGGNet

Open in full graph
VGGNet
CreatorOutgoing
Visual Geometry Group

Visual Geometry Group is documented as creator, contributor or originating team for VGGNet.

Associated organizationOutgoing
University of Oxford

University of Oxford is the organization or institutional context associated with VGGNet.

ClassificationOutgoing
Historical / Research AI System

VGGNet is classified as Historical / Research AI System.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002111",
    "name": "VGGNet",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "VGGNet is a AI system associated with University of Oxford, classified in LXKeys.world as Specialized AI System.",
    "creator": "Visual Geometry Group",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002111&lang=en",
    "sameAs": "https://www.robots.ox.ac.uk/~vgg/research/very_deep/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002111",
        "kind": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "classification": "Specialized AI System",
        "organization": "University of Oxford",
        "originContext": "AI history and research",
        "firstPublicAppearance": "2014",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "AI-enabled task execution",
            "Model or workflow integration",
            "Input/output transformation",
            "Public system documentation"
        ],
        "limitations": [
            "Model behavior depends on version, deployment settings and usage context.",
            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
            "AI History",
            "Research System",
            "Machine Learning",
            "Historical"
        ],
        "timeline": [
            {
                "date": "2014",
                "title": "First public appearance",
                "description": "VGGNet entered the documented public record in 2014. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://www.robots.ox.ac.uk/~vgg/research/very_deep/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Visual Geometry Group",
                "type": "Creator",
                "description": "Visual Geometry Group is documented as creator, contributor or originating team for VGGNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "University of Oxford",
                "type": "Associated organization",
                "description": "University of Oxford is the organization or institutional context associated with VGGNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Historical / Research AI System",
                "type": "Classification",
                "description": "VGGNet is classified as Historical / Research AI System.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://www.robots.ox.ac.uk/~vgg/research/very_deep/",
                "source_type": "Research / Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Proofs

Contribute to this record

Submit a source, correction or comment. Public changes remain moderated.

Submit proof or comment

Approved comments

No approved public comment yet.