Basics

Exports

Project configuration

Annotation import

Integrations

Model experiments

Prediction upload

Foundry

Python Tutorials

Labelbox

Labelbox accelerates the creation of high-quality, differentiated data by combining on-demand expert labeling services with the industry-leading data labeling platform.

Overview

Get started with Labelbox

A glossary of key terms used throughout the Labelbox platform.

Key Definitions

Key definitions

Prerequisites and best practices for using the Labelbox platform.

Technical Requirements & Recommendations

Technical requirements & recommendations

Product limits broken down by subscription type.

Limits

How to work with Labelbox support to report issues and feedback.

Customer Support

Customer support

Learn the about the performance and support expectations for “experimental”, “preview”, “beta”, and “GA” release phases.

Product Release Phases

Product release phases

Add fully managed or self-serving data labeling services offered by Labelbox to your labeling projects.

Learn how to request fully managed labeling services.

Managed Services

Managed services

Learn how to request self-serving labeling services.

Self-service

Learn how to connect with labeling and model evaluation experts using the Alignerr Connect marketplace.

Alignerr Connect

Alignerr

Collaboratively annotate data with the internal team, your own vendor, or Labelbox data labeling service.

Learn how to use in-editor tools like AI critic and code runner to identify grammar errors and validate code in multimodal chat evaluation and prompt-response projects.

Code & Grammar Assistance

Code and grammar assistance

Best practices to optimize the speed and performance of the labeling interface.

Best Practices

Best practices

Train, test, and evaluate your models with the Model product.

Shows how to use Foundry to fine-tune a model to improve performance with unique ontologies, features, or data distributions.

Fine-tune Model

Fine-tune model

Perform zero-shot learning using bulk classification.

Bulk Classification

Bulk classification

Guide for viewing and managing embeddings in the app UI.

Embeddings

Instructions for sending a batch of data rows from Catalog to a labeling project via the app UI.

Batches

Create, explore, and updates slices in Catalog.

Slices

Instructions for creating, reusing, and modifying global ontologies.

Ontologies

Instructions for creating and modifying features.

Features

Instructions for adding, filtering, and modifying metadata in the app UI.

Metadata

Instructions for exporting your annotations from a labeling project via the UI.

Export Labels From Project

Export labels from project

Instructions for exporting your data from Catalog via the UI.

Export Data From Catalog

Export data from Catalog

Instructions for exporting model run data from the app UI to train a model in your desired computing environment.

Export Model Run Data

Export model run data

Learn how to access and modify your cloud storage integrations in the app UI.

Cloud Storage Integrations

Cloud storage integrations

Learn how to import your S3 bucket data to Labelbox via IAM delegated access.

Amazon S3

Data Access Audit Logs

Data access audit logs

Learn how to import your Azure Blob Storage data to Labelbox via IAM delegated access.

Microsoft Azure Blob Storage

Learn how to sync your data from Databricks to Labelbox.

Databricks

Learn how to import your GCS bucket data to Labelbox via IAM delegated access.

Google Cloud Storage

Webhooks

Learn tools for monitoring the performance of your labeling project and managing the labeling service workforce.

How enterprise customers can manage multiple instances of Labelbox with segregated projects, data, and users.

Workspaces

Describes user roles and permissions for workspaces, projects, and groups.

Roles & Permissions

Roles and permissions

Instructions for managing members and groups permissions.

Manage Members & Permissions

Manage members and permissions

Monitor the performance of your labeling project and labeling service workforce.

Monitor Labeling Performance

Monitor labeling performance

Workforce Provider RBAC

Workforce provider RBAC

View and set notification preferences for your tasks and operations.

Notifications

Learn how to invite members to your workspaces and projects, as well as manage members and groups with the improved workflow.

New Member & Group Management Experience

New member and group management experience

Information on account and data accessibility, storage, and security.

Access, Storage, & Security

Access, storage, and security

Describes single sign-on for the Labelbox platform.

Single Sign-On (SSO)

Single sign on (SSO)

This article describes how to set up multifactor authentication (MFA) for Labelbox accounts.

Multi-factor Authentication

Multi-factor authentication

A list of active and completed deprecations

Deprecations

General information about the Export V1 deprecation and the advantages of moving to Export V2.

Migration Guide: Export V1 to Export V2

Migration guide: Export V1 to Export V2

A guide that compares the Reporting page to the new Monitor tab.

Migration Guide: Reporting Page to Monitor

Migration guide: Reporting page to Monitor

Description of Labelbox-Python SDK and our developer guides.

Short introduction towards Labelbox-Python SDK, geared mainly for new users.

Quick Start

Quick start

Describes how to install, update, and authenticate to the Labelbox Python SDK.

Installation

Shows how to create an API key that lets apps and other services access Labelbox APIs and endpoints.

Labelbox API Key

Overview of concepts used throughout Labelbox-Python SDK.

Fundamental Concepts

Fundamental concepts

Task Objects

Task objects

See the latest version updates of the Labelbox SDK

What's New

What's new

Developer guide for creating and modifying batches via the Python SDK.

Batch

Developer guide for creating and managing Foundry applications.

Create & Import Annotations

Create & import annotations

Send Annotations to Review

Send annotations to review

Summary of methods for creating and modifying datasets.

Dataset

Developer guide for creating and modifying data rows via the Python SDK.

Data Row

Data row

Developer guide for importing attachments and image overlay layers

Attachments

Shows how to upload custom embeddings to improve similarity search.

Custom Embeddings

Custom embeddings

Overview of Labelbox computed media attributes.

Media Attributes

Media attributes

Global Keys

Global keys

How to programmatically retrieve data from a Catalog slice through the SDK

Catalog Slice

Catalog slice

Developer guide for creating, importing, exporting, and modifying metadata fields via the Python SDK.

Developer guide for creating and modifying features via the Python SDK.

Using IAM delegated access integrations is the recommended option for all cloud users. See  for instructions on setting up cloud storage integrations on the Labelbox platform.

IAM Integration

IAM integration

Developer guide on how to set up Labelbox webhooks through Python SDK

A developer guide for querying organization information via the Python SDK.

Organization

Developer guide for managing team members using the Python SDK.

User

Python SDK methods for requesting and managing your labeling workforce.

Labeling Workforce

How-to guide on exporting Labelbox data to a CSV or Pandas-friendly format.

Exporting to CSV

Describes how to combine the Python SDK and HuggingFace Transformer models to improve similarity search.

Notebook	Google colab	Github
Quick start
Basics
Data rows
Data row metadata
Batches
Projects
Ontologies
User management
Custom embeddings

Notebook	Google colab	Github
Export data
Exporting to CSV
Export v1 to v2 migration support
Composite mask export

Notebook	Google colab	Github
Multimodal chat project
Prompt response projects
Webhooks
Project setup
Queue management

Notebook	Google colab	Github
LLM data generation
Tiled
PDF
DICOM
Audio
Offline multimodal chat evaluation
Text
Conversational LLM
HTML
Prompt response
Image
Video
Conversational

Notebook	Google colab	Github
Langchain
Huggingface custom embeddings
Import YOLOv8 annotations
Meta SAM
Meta SAM video

Notebook	Google colab	Github
Custom metrics demo
Model slices
Model predictions to project
Custom metrics basics

Notebook	Google colab	Github
PDF predictions
Text predictions
Geospatial predictions
Conversational predictions
Conversational LLM predictions
Video predictions
Image predictions
HTML predictions

​Basics

​Exports

​Project configuration

​Annotation import

​Integrations

​Model experiments

​Prediction upload

​Foundry