Labelbox · JSON-LD Context
Labelbox Context
JSON-LD context defining the semantic vocabulary for Labelbox from Labelbox.
0 Classes
29 Properties
3 Namespaces
Namespaces
schema:
https://schema.org/
lb:
https://labelbox.com/vocab/
xsd:
http://www.w3.org/2001/XMLSchema#
Properties
| Property | Type | Container |
|---|---|---|
| Project | reference | |
| Dataset | reference | |
| DataRow | reference | |
| Label | reference | |
| Ontology | reference | |
| Annotation | reference | |
| Catalog | reference | |
| Foundry | reference | |
| ModelEvaluation | reference | |
| BulkClassification | reference | |
| GroundTruth | reference | |
| RLHF | reference | |
| SFT | reference | |
| PreferenceRanking | reference | |
| RedTeaming | reference | |
| Slice | reference | |
| ModelPrediction | reference | |
| Workforce | reference | |
| APIKey | reference | |
| GraphQLAPI | reference | |
| RESTAPI | reference | |
| PythonSDK | reference | |
| name | ||
| description | ||
| url | reference | |
| identifier | ||
| dateCreated | date | |
| dateModified | date | |
| version |
JSON-LD Document
{
"@context": {
"@version": 1.1,
"schema": "https://schema.org/",
"lb": "https://labelbox.com/vocab/",
"xsd": "http://www.w3.org/2001/XMLSchema#",
"Project": {
"@id": "lb:Project",
"@type": "@id",
"comment": "The foundational unit for organizing labeling and annotation work in Labelbox."
},
"Dataset": {
"@id": "lb:Dataset",
"@type": "@id",
"comment": "A collection of data items (DataRows) integrated from cloud sources and managed in the Labelbox Catalog."
},
"DataRow": {
"@id": "lb:DataRow",
"@type": "@id",
"comment": "An individual data item within a Dataset, representing a single piece of content to be labeled."
},
"Label": {
"@id": "lb:Label",
"@type": "@id",
"comment": "An annotated output produced by a labeler or model for a given DataRow."
},
"Ontology": {
"@id": "lb:Ontology",
"@type": "@id",
"comment": "The task design framework defining the labeling schema, instructions, and classification options for a Project."
},
"Annotation": {
"@id": "lb:Annotation",
"@type": "@id",
"comment": "A structured markup applied to a DataRow as part of a labeling task."
},
"Catalog": {
"@id": "lb:Catalog",
"@type": "@id",
"comment": "Labelbox's data management and curation system supporting search, filtering, and slice creation."
},
"Foundry": {
"@id": "lb:Foundry",
"@type": "@id",
"comment": "Integration layer connecting foundational AI models to Labelbox labeling workflows."
},
"ModelEvaluation": {
"@id": "lb:ModelEvaluation",
"@type": "@id",
"comment": "Workflow for comparing model predictions against ground truth labels to assess model quality."
},
"BulkClassification": {
"@id": "lb:BulkClassification",
"@type": "@id",
"comment": "Large-scale data labeling operations applied across many DataRows simultaneously."
},
"GroundTruth": {
"@id": "lb:GroundTruth",
"@type": "@id",
"comment": "Pre-existing high-quality labeled data imported into Labelbox as a reference standard."
},
"RLHF": {
"@id": "lb:RLHF",
"@type": "@id",
"comment": "Reinforcement Learning from Human Feedback — a labeling task type supported by Labelbox for aligning LLMs."
},
"SFT": {
"@id": "lb:SFT",
"@type": "@id",
"comment": "Supervised Fine-Tuning — a task type for generating preference or instruction data to train AI models."
},
"PreferenceRanking": {
"@id": "lb:PreferenceRanking",
"@type": "@id",
"comment": "A labeling task where annotators rank model responses by quality for RLHF-style training."
},
"RedTeaming": {
"@id": "lb:RedTeaming",
"@type": "@id",
"comment": "Adversarial testing task type where annotators try to elicit unsafe or incorrect model behavior."
},
"Slice": {
"@id": "lb:Slice",
"@type": "@id",
"comment": "A saved subset of DataRows in the Catalog, filtered by metadata or label properties."
},
"ModelPrediction": {
"@id": "lb:ModelPrediction",
"@type": "@id",
"comment": "Output generated by a custom model, imported into Labelbox for comparison against ground truth."
},
"Workforce": {
"@id": "lb:Workforce",
"@type": "@id",
"comment": "The team of human annotators and reviewers managed within a Labelbox labeling project."
},
"APIKey": {
"@id": "lb:APIKey",
"@type": "@id",
"comment": "Authentication credential used to access the Labelbox REST and GraphQL APIs."
},
"GraphQLAPI": {
"@id": "lb:GraphQLAPI",
"@type": "@id",
"comment": "The Labelbox GraphQL endpoint (https://api.labelbox.com/graphql) for programmatic platform access."
},
"RESTAPI": {
"@id": "lb:RESTAPI",
"@type": "@id",
"comment": "The Labelbox REST API endpoint (https://api.labelbox.com/api/v1) for platform resource operations."
},
"PythonSDK": {
"@id": "lb:PythonSDK",
"@type": "@id",
"comment": "The official Labelbox Python SDK, the recommended interface for interacting with the Labelbox platform programmatically."
},
"name": { "@id": "schema:name" },
"description": { "@id": "schema:description" },
"url": { "@id": "schema:url", "@type": "@id" },
"identifier": { "@id": "schema:identifier" },
"dateCreated": { "@id": "schema:dateCreated", "@type": "xsd:date" },
"dateModified": { "@id": "schema:dateModified", "@type": "xsd:date" },
"version": { "@id": "schema:version" }
},
"@graph": [
{
"@type": "schema:WebAPI",
"@id": "https://labelbox.com",
"name": "Labelbox API",
"description": "Enterprise-grade data labeling and AI training data platform providing REST and GraphQL APIs for datasets, annotation projects, labels, ontologies, and model evaluation workflows.",
"url": "https://labelbox.com",
"schema:documentation": "https://docs.labelbox.com",
"schema:provider": {
"@type": "schema:Organization",
"name": "Labelbox",
"url": "https://labelbox.com"
}
}
]
}