CL
ENT-00000946 · AI Model

CLIPSeg

CLIPSeg is a AI model associated with Academic research, classified in LXKeys.world as Foundation / Language Model.

Level V PersistentActiveDocumented
Human record

Overview

CLIPSeg is documented as a foundation model or model-family record associated with Academic research. Its relevance comes from model for image segmentation guided by text prompts. The entity is useful for tracing model lineage, provider strategy, capability evolution and relationships between assistants, APIs and downstream products.

Timeline

  1. 2022Initial model publication or release

    CLIPSeg entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Language or multimodal model capabilityAPI or deployment integrationReasoning, generation or representation learningModel-family relationship mapping

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 structured detail

Technical description

Structured LXKeys.world registry record for CLIPSeg. Entity type: AI Model; classification: Foundation / Language Model; creator/organization context: University of Göttingen researchers. Canonical source anchor: https://github.com/timojl/clipseg. 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

Academic researchFoundation ModelDocumented AIlanguage-guided
Relationship graph

CLIPSeg

Open in full graph
CLIPSeg
Associated OrganizationOutgoing
Academic research

Academic research is the organization or ecosystem associated with CLIPSeg.

Creator or DeveloperOutgoing
University of Göttingen researchers

University of Göttingen researchers is identified as a creator, developer or originating actor for CLIPSeg.

Registry CategoryOutgoing
Foundation Models

Model-level entity connected to the foundation-model layer of the registry.

Machine readable layer

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

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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000946",
    "name": "CLIPSeg",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "CLIPSeg is a AI model associated with Academic research, classified in LXKeys.world as Foundation / Language Model.",
    "creator": "University of Göttingen researchers",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000946&lang=en",
    "sameAs": "https://github.com/timojl/clipseg",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000946",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Foundation / Language Model",
        "organization": "Academic research",
        "originContext": "Computer vision model",
        "firstPublicAppearance": "2022",
        "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": "2026-06-16T23:59:02+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"
        },
        "facts": [],
        "capabilities": [
            "Language or multimodal model capability",
            "API or deployment integration",
            "Reasoning, generation or representation learning",
            "Model-family relationship mapping"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Academic research",
            "Foundation Model",
            "Documented AI",
            "language-guided"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "Initial model publication or release",
                "description": "CLIPSeg entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/timojl/clipseg",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Academic research",
                "type": "Associated Organization",
                "description": "Academic research is the organization or ecosystem associated with CLIPSeg.",
                "evidence_level": "documentary"
            },
            {
                "target": "University of Göttingen researchers",
                "type": "Creator or Developer",
                "description": "University of Göttingen researchers is identified as a creator, developer or originating actor for CLIPSeg.",
                "evidence_level": "documentary"
            },
            {
                "target": "Foundation Models",
                "type": "Registry Category",
                "description": "Model-level entity connected to the foundation-model layer of the registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "CLIPSeg official reference",
                "url": "https://github.com/timojl/clipseg",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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