Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.
{
"@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=fr",
"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": []
}
}