MA
ENT-00002371 · Dataset

Matterport3D

Matterport3D is a dataset associated with Matterport, classified in LXKeys.world as Robotics / RL Dataset.

Level V PersistentActiveDocumented
Human record

Overview

Matterport3D is a data or evaluation resource used in artificial intelligence research. It is associated with Matterport and is documented as indoor RGB-D dataset.

Timeline

  1. 2017Initial dataset release

    Matterport3D entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

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

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for Matterport3D. Entity type: Dataset; classification: Robotics / RL Dataset; creator/organization context: Matterport / Stanford. Canonical source anchor: https://niessner.github.io/Matterport/. 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

DatasetBenchmarkRoboticsEvaluation
Relationship graph

Matterport3D

Open in full graph
Matterport3D
CreatorOutgoing
Matterport / Stanford

Matterport / Stanford is documented as creator, contributor or originating team for Matterport3D.

Associated organizationOutgoing
Matterport

Matterport is the organization or institutional context associated with Matterport3D.

ClassificationOutgoing
Evaluation / Robotics Resource

Matterport3D is classified as Evaluation / Robotics Resource.

Machine readable layer

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

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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002371",
    "name": "Matterport3D",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Matterport3D is a dataset associated with Matterport, classified in LXKeys.world as Robotics / RL Dataset.",
    "creator": "Matterport / Stanford",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002371&lang=en",
    "sameAs": "https://niessner.github.io/Matterport/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002371",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Robotics / RL Dataset",
        "organization": "Matterport",
        "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": "Matterport3D entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://niessner.github.io/Matterport/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Matterport / Stanford",
                "type": "Creator",
                "description": "Matterport / Stanford is documented as creator, contributor or originating team for Matterport3D.",
                "evidence_level": "documentary"
            },
            {
                "target": "Matterport",
                "type": "Associated organization",
                "description": "Matterport is the organization or institutional context associated with Matterport3D.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "Matterport3D is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
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        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://niessner.github.io/Matterport/",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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