SC
ENT-00002372 · Jeu de données

ScanNet

ScanNet is a dataset associated with ScanNet, classified in LXKeys.world as Robotics / RL Dataset.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

ScanNet is a data or evaluation resource used in artificial intelligence research. It is associated with ScanNet and is documented as indoor 3D reconstruction dataset.

Chronologie

  1. 2017Initial dataset release

    ScanNet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Limites connues

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for ScanNet. Entity type: Dataset; classification: Robotics / RL Dataset; creator/organization context: Stanford / Princeton / TUM. Canonical source anchor: http://www.scan-net.org. 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.

Tags contrôlés

DatasetBenchmarkRoboticsEvaluation
Graphe relationnel

ScanNet

Ouvrir dans le graphe complet
ScanNet
CréateurSortante
Stanford / Princeton / TUM

Stanford / Princeton / TUM is documented as creator, contributor or originating team for ScanNet.

ClassificationSortante
Evaluation / Robotics Resource

ScanNet is classified as Evaluation / Robotics Resource.

Couche lisible par machine

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-00002372",
    "name": "ScanNet",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ScanNet is a dataset associated with ScanNet, classified in LXKeys.world as Robotics / RL Dataset.",
    "creator": "Stanford / Princeton / TUM",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002372&lang=fr",
    "sameAs": "http://www.scan-net.org",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002372",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Robotics / RL Dataset",
        "organization": "ScanNet",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2017",
        "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": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Robotics",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Initial dataset release",
                "description": "ScanNet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "http://www.scan-net.org",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Stanford / Princeton / TUM",
                "type": "Creator",
                "description": "Stanford / Princeton / TUM is documented as creator, contributor or originating team for ScanNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "ScanNet",
                "type": "Associated organization",
                "description": "ScanNet is the organization or institutional context associated with ScanNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "ScanNet is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "http://www.scan-net.org",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Preuves

Contribuer à cette entrée

Soumettez une source, une correction ou un commentaire. Les modifications publiques restent modérées.

Soumettre une preuve ou un commentaire

Commentaires approuvés

Aucun commentaire public approuvé pour le moment.