# Labellerr Documentation

- [Getting Started with Labellerr](https://docs.labellerr.com/getting-started/introduction.md): Learn how to get started with Labellerr - a simple and powerful platform for labeling data for AI and machine learning.
- [How to Get Started with Labellerr](https://docs.labellerr.com/getting-started/getting-started.md): Learn how to sign up, create a workspace, set up your first domain, and begin your first project in a few simple steps.
- [How to Create a New Project](https://docs.labellerr.com/getting-started/create-project.md): Learn how to create different types of projects including image, text, video, and audio annotation projects in Labellerr.
- [How to Create a Text Annotation Project](https://docs.labellerr.com/getting-started/create-text-project.md): Learn how to create a new text annotation project in Labellerr with step-by-step instructions.
- [How to Create a Video Annotation Project](https://docs.labellerr.com/getting-started/create-video-project.md): Learn how to create a new video annotation project in Labellerr with step-by-step instructions.
- [How to Create an Audio Annotation Project](https://docs.labellerr.com/getting-started/create-audio-project.md): Learn how to create a new audio annotation project in Labellerr with step-by-step instructions.
- [How to Navigate Dashboard](https://docs.labellerr.com/getting-started/navigate-dashboard.md): This tutorial helps new users get accustomed to the Dashboard and its elements, covering dashboard elements and self-generated graphs for activity tracking.
- [Status Bar Elements Guide](https://docs.labellerr.com/getting-started/status-bar-elements.md): Learn about the different elements in the status bar that track annotation progress and file states in real-time.
- [How to Connect AWS S3 with Labellerr](https://docs.labellerr.com/getting-started/connect-aws-s3.md): Learn how to establish a secure connection between your Amazon S3 bucket and Labellerr using IAM User Access for data import and export.
- [How to Connect Google Cloud Storage with Labellerr](https://docs.labellerr.com/getting-started/connect-gcs.md): Learn how to establish a secure connection between your Google Cloud Storage bucket and Labellerr using IAM Service Account for data access.
- [How to Delete a Project](https://docs.labellerr.com/getting-started/delete-project.md): Learn how to permanently delete a project in Labellerr, including the confirmation steps required to prevent accidental deletion.
- [How to Delete a Dataset](https://docs.labellerr.com/getting-started/delete-dataset.md): Learn how to permanently delete a dataset in Labellerr using the dataset options menu.
- [Template Versioning](https://docs.labellerr.com/getting-started/template-versioning.md): Learn how to create, manage, and roll back annotation template versions in Labellerr to maintain consistency across your projects.
- [Workspace](https://docs.labellerr.com/tutorials/workspace.md): Learn about workspaces in Labellerr - how they work, features they offer, and how to manage multiple workspaces effectively.
- [Datasets](https://docs.labellerr.com/tutorials/datasets.md): Learn about datasets in Labellerr - how to create, manage, and work with workspace-level datasets for your annotation projects.
- [Key Definitions of Data Annotation](https://docs.labellerr.com/tutorials/key-definitions.md): Essential terms and definitions you'll encounter while using Labellerr for data annotation and machine learning projects.
- [Labellerr Shortcut Keys Guide](https://docs.labellerr.com/tutorials/shortcut-keys.md): Master keyboard shortcuts to speed up your annotation workflow in Labellerr across different data types.
- [Image Editing Icons Guide](https://docs.labellerr.com/tutorials/image-editing-icons.md): Learn about the image editing tools available in Labellerr to enhance your annotation experience and improve labeling accuracy.
- [User Permissions](https://docs.labellerr.com/tutorials/user-permissions.md): Understand different user roles and permission levels in Labellerr workspaces, and what access each role provides.
- [Importing Users from One Project to Another](https://docs.labellerr.com/tutorials/importing-users.md): Learn how to import users from one project to another within the same workspace in Labellerr.
- [Start Labelling](https://docs.labellerr.com/actions/start-labelling.md): A guide for both new and experienced users to understand the labelling process, annotation tools, sample editing, and screen elements in Labellerr.
- [How to Use Annotations](https://docs.labellerr.com/actions/annotations-guide.md): Everything you need to know about image annotation types in Labellerr, including Bounding Box, Polygon, Line, Segmentation, Landmark/Keypoint, and Ellipse.
- [Image Editing Icons Guide (Actions)](https://docs.labellerr.com/actions/image-editing-icons.md): A comprehensive guide to the image editing tools available within Labellerr's action-oriented interface for enhanced labeling.
- [Labelling Screen Elements Guide](https://docs.labellerr.com/actions/labelling-screen-elements.md): A guide to the key elements and functionalities of the Labellerr labelling screen, including tools, questions, auto-label, and navigation.
- [Review Annotations](https://docs.labellerr.com/actions/review.md): A guide to effectively reviewing annotated images, offering suggestions, and providing feedback on potential errors within Labellerr.
- [Client Review](https://docs.labellerr.com/actions/client-review.md): A guide to effectively reviewing annotated images, offering suggestions, and providing feedback on potential errors within Labellerr.
- [Client Review Using Grid View](https://docs.labellerr.com/actions/client-review-grid.md): Learn how clients can efficiently review and manage annotated files in Labellerr using the grid view, with quick accept or reject options.
- [Delete, Hide, and Unhide Annotations](https://docs.labellerr.com/actions/delete-hide-unhide.md): Learn how to efficiently manage annotations by deleting, hiding, and unhiding them in Labellerr for a clearer view and better accuracy.
- [How to Create an Export in Labellerr](https://docs.labellerr.com/actions/create-export.md): A guide for Supervisors, Admins, and Super Admins on creating exports of annotated data, including filtering, scheduling, and selecting formats.
- [View on Files Page](https://docs.labellerr.com/actions/view-files-page.md): Explore different viewing options on the Files page in Labellerr, including Files View, Statistics View, Grid View, and Object View.
- [Review via Files](https://docs.labellerr.com/actions/review-via-files.md): Learn how to accept, reject, and edit files directly from the Files view based on your review role.
- [Audio Segmentation](https://docs.labellerr.com/features/audio-segmentation.md): Learn about audio segmentation in Labellerr, a feature that divides audio signals into segments and classifies them for various applications like speech recognition or music.
- [Audio Transcription Using Generative AI](https://docs.labellerr.com/features/audio-transcription.md): Learn how Labellerr's audio analyzer, powered by Gemini API, provides accurate transcriptions and insights from audio recordings.
- [Auto Bordering](https://docs.labellerr.com/features/auto-bordering.md): Learn how to use Auto Bordering in Labellerr to reuse common polygon edges while annotating adjacent objects.
- [Auto Label Jobs by Active Learning](https://docs.labellerr.com/features/auto-label-jobs.md): Learn how to use active learning and zero-shot learning in Labellerr to autolabel datasets efficiently, select informative samples, and manage auto label jobs.
- [Classification Agent](https://docs.labellerr.com/features/classification-agent.md): Labellerr’s Classification Agent automates classification tasks for various data types using AI, enhancing speed and accuracy.
- [CLIP Mode and Gap Filler](https://docs.labellerr.com/features/clip-mode-gap-filler.md): Explore Labellerr’s advanced CLIP Mode and Gap Filler features for precise image segmentation, refining annotation edges, and seamlessly filling unlabeled spaces.
- [Copy From Similar Images](https://docs.labellerr.com/features/copy-similar-images.md): Learn how Labellerr's 'Copy from' feature reduces annotation time by up to 70% by leveraging past annotations from similar images.
- [Event/Action Tagging](https://docs.labellerr.com/features/event-tagging.md): Learn how Labellerr's Event Tagging feature transforms raw video into structured, searchable data by marking and labeling specific segments in a video timeline.
- [Labellerr Grouping Tool Feature](https://docs.labellerr.com/features/grouping-tool.md): Discover Labellerr's grouping tool, which allows you to group labels for a single object into one unit, enhancing AI model understanding and improving annotation consistency.
- [Hand Keypoint Tracking](https://docs.labellerr.com/features/hand-keypoint-tracking.md): Learn how Labellerr's Hand Keypoint Tracking supports up to 21 points for precise hand and finger gesture annotation on images and videos.
- [Image Captioning Using Generative AI](https://docs.labellerr.com/features/image-captioning.md): Learn how to generate detailed image captions, descriptions, and keywords using generative AI in Labellerr, enhancing your annotation projects.
- [Image Similarity](https://docs.labellerr.com/features/image-similarity.md): Understand Image Similarity in Labellerr, a capability used to automate repetitive data preparation tasks for faster, more efficient, and accurate pipelines.
- [Interpolation Feature](https://docs.labellerr.com/features/interpolation.md): Learn about Labellerr's interpolation feature for video annotation, which automates bounding box tracking across multiple frames to save time and ensure consistency.
- [Magic Editor](https://docs.labellerr.com/features/magic-editor.md): Discover Labellerr's Magic Editor, a precision tool for refining image annotations by smoothing edges, merging missing labels, and correcting irregular boundaries.
- [Natural Language Search](https://docs.labellerr.com/features/natural-language-search.md): Discover Labellerr’s Natural Language Search, an AI-powered feature that allows you to instantly find files, images, or datasets by simply typing a descriptive phrase.
- [Notification Bar](https://docs.labellerr.com/features/notification-bar.md): Labellerr’s Notification Bar is a collaboration feature designed to streamline team communication, enable instant tag-based messaging, and resolve complex labeling queries quickly.
- [Polygon Eraser](https://docs.labellerr.com/features/polygon-eraser.md): Master Labellerr's Polygon Eraser and CLIP Mode for effortless image annotation refinement, selective erasing, and precise boundary adjustments in complex scenarios.
- [Body Pose Keypoint Tracking](https://docs.labellerr.com/features/pose-keypoint-tracking.md): Learn how Labellerr's Body Pose Keypoint Tracking supports up to 33 points to create detailed skeletal annotations for full-body pose estimation.
- [Quality Metrics](https://docs.labellerr.com/features/quality-metrics.md): Monitor and improve annotation team performance with Labellerr’s Quality Metrics Dashboard, offering insights into productivity, review accuracy, and client rejections.
- [Quick Edit while Reviewing](https://docs.labellerr.com/features/quick-edit-while-reviewing.md): Learn how Labellerr's View Mode supports direct editing and annotation, allowing reviewers to make instant corrections without leaving the review interface.
- [Segment Anything (SAM)](https://docs.labellerr.com/features/segment-anything.md): Discover how Labellerr integrates Meta AI's Segment Anything Model (SAM) to enable fast and accurate object segmentation with a single click, enhancing your annotation pipeline.
- [SAM 2 Object Tracking](https://docs.labellerr.com/features/sam-2-object-tracking.md): Learn how Labellerr's Segment Anything Model 2 (SAM 2) enables 10x faster video object tracking for annotating moving objects across frames with minimal manual effort.
- [SAM 3 Multi-Instance Auto-Labeling](https://docs.labellerr.com/features/sam-3-multi-instance-auto-labeling.md): Learn how Labellerr's SAM 3 Multi-Instance Auto-Labeling allows you to label all similar objects in an image with a single visual prompt to speed up annotation workflows.
- [Smart File Filtering](https://docs.labellerr.com/features/smart-file-filtering.md): Revolutionize how you manage and navigate image datasets with Labellerr’s Smart File Filtering, allowing you to find exactly what you need in seconds using multiple advanced filters.
- [Text Captioning Using Generative AI](https://docs.labellerr.com/features/text-captioning.md): Learn how to use generative AI in Labellerr for text captioning, enabling you to generate detailed descriptions and keywords for your text annotation projects.
- [User Settings Guide](https://docs.labellerr.com/features/user-settings.md): Learn how to manage users in Labellerr, including adding, deleting, editing credentials, and assigning roles and projects to annotators.
- [Single Sign-On (SSO) Enforcement](https://docs.labellerr.com/enterprise-security/sso-enforcement.md): Enforce Single Sign-On (SSO) authentication for all members of your Labellerr workspace.
- [IP Allowlisting](https://docs.labellerr.com/enterprise-security/ip-allowlisting.md): Restrict access to your Labellerr workspace by allowing only specific IP addresses.
- [System Requirements](https://docs.labellerr.com/system-requirements/system-requirements.md): Verify your hardware and network setup to ensure optimal performance during heavy data annotation workflows.
- [Labellerr Workflow Diagram](https://docs.labellerr.com/few-additional-features/few-additional-features-1/labellerr-workflow-diagram.md): Understand the complete annotation workflow from labeling to approval with our comprehensive diagram.
- [AWS S3 Data Flow Architecture](https://docs.labellerr.com/few-additional-features/few-additional-features-1/aws-s3-data-flow.md): Detailed architecture and security reference diagram illustrating data flow between AWS S3 and Labellerr.
- [File Remarks & Client Feedback](https://docs.labellerr.com/few-additional-features/few-additional-features-1/reviewing-file-level-remarks-by-annotators-reviewers.md): Learn how annotators and reviewers can view and handle remarks from clients at the file level.
- [Getting Started with SDK](https://docs.labellerr.com/labellerr/documentation-labellerr/sdk/sdk-documentation.md): Learn how to install and initialize the Labellerr SDK, a Python library for seamless interaction with the Labellerr platform to manage data annotations, projects, and exports.
- [How to Get Started with Labellerr](https://docs.labellerr.com/labellerr/documentation-labellerr/getting-started/get-started-with-labellerr.md): Learn how to sign up, create a workspace, set up your first domain, and begin your first project in a few simple steps.
- [Importing users from one project to another in the same workspace](https://docs.labellerr.com/labellerr/documentation-labellerr/frequently-accessed-tutorials/frequently-accessed-tutorials-1/importing-users-from-one-project-to-another-in-the-same-workspace.md)
- [Copy From Similar Images](https://docs.labellerr.com/labellerr/documentation-labellerr/feature-demos/feature-demos/copy-from-similar-images.md): Learn how Labellerr's 'Copy from' feature reduces annotation time by up to 70% by leveraging past annotations from similar images.
- [User Settings Guide](https://docs.labellerr.com/labellerr/documentation-labellerr/feature-demos/feature-demos/user-settings-guide.md): Learn how to manage users in Labellerr, including adding, deleting, editing credentials, and assigning roles and projects to annotators.
- [Client Review](https://docs.labellerr.com/labellerr/documentation-labellerr/actions/actions/client-review.md): A guide to effectively reviewing annotated images, offering suggestions, and providing feedback on potential errors within Labellerr.
- [Client Review Using Grid View](https://docs.labellerr.com/labellerr/documentation-labellerr/actions/actions/client-review-using-grid-view.md): Learn how clients can efficiently review and manage annotated files in Labellerr using the grid view, with quick accept or reject options.
- [Getting Started](https://docs.labellerr.com/sdk/getting-started.md): Learn how to install and initialize the Labellerr SDK, a Python library for seamless interaction with the Labellerr platform to manage data annotations, projects, and exports.
- [Create Datasets](https://docs.labellerr.com/sdk/create-dataset-sdk.md): Learn how to create datasets, upload files, connect cloud storage, enable multimodal indexing, and manage dataset operations in Labellerr using the Python SDK.
- [Manage Data Connectors](https://docs.labellerr.com/sdk/manage-connections-sdk.md): Learn how to create, list, and delete AWS S3 and GCP GCS data connector credentials using the Labellerr Python SDK.
- [Add Annotation Questions](https://docs.labellerr.com/sdk/add-annotation-questions.md): Define annotation questions using Pydantic schemas in the Labellerr SDK for object detection and classification workflows.
- [Create Projects](https://docs.labellerr.com/sdk/create-project-sdk.md): Complete guide to creating annotation projects in Labellerr using the Python SDK with datasets, templates, and configuration.
- [Retrieve Projects & Datasets](https://docs.labellerr.com/sdk/retrieve-projects-datasets-sdk.md): Learn how to retrieve all projects and datasets associated with a client in Labellerr using the SDK, including linked and unlinked datasets.
- [Video Operations](https://docs.labellerr.com/sdk/video-project-operations-sdk.md): Learn how to manage keyframes in video projects using the Labellerr Python SDK, including adding, updating, and deleting keyframes for video annotation workflows.
- [Upload Pre-annotations](https://docs.labellerr.com/sdk/upload-preannotation-sdk.md): Accelerate annotation workflows by importing existing labels into Labellerr projects through the Python SDK.
- [Create Exports](https://docs.labellerr.com/sdk/create-export-sdk.md): Learn how to use the Labellerr SDK to export project data locally or to AWS S3 in various formats, check export status, and fetch downloadable URLs.
- [Magic Wand Filtering](https://docs.labellerr.com/sdk/magic-wand-confidence-filtering.md): Filter and review pre-annotations by confidence levels using the intuitive slider control for efficient quality assurance workflows.
- [SDK Changelog](https://docs.labellerr.com/sdk/changelog.md): Track updates, improvements, and breaking changes across Labellerr SDK versions
- [MCP Server](https://docs.labellerr.com/sdk/mcp-server.md): Use Labellerr with AI assistants like Claude and Cursor through the Model Context Protocol (MCP) server for natural language data annotation workflows.
- [Healthcare](https://docs.labellerr.com/cookbooks/healthcare.md)
- [Automobile](https://docs.labellerr.com/cookbooks/automobile.md)
- [Retail](https://docs.labellerr.com/cookbooks/retail.md)
- [Manufacturing](https://docs.labellerr.com/cookbooks/manufacturing.md)
- [Security](https://docs.labellerr.com/cookbooks/security.md)
- [Sports](https://docs.labellerr.com/cookbooks/sports.md)
- [Robotics](https://docs.labellerr.com/cookbooks/robotics.md)
- [Model Notebooks](https://docs.labellerr.com/cookbooks/model-notebooks.md)
- [Build your AI Agents](https://docs.labellerr.com/cookbooks/build-ai-agents.md)
- [Product Updates 2026](https://docs.labellerr.com/product-releases/2026.md): Stay up to date with the latest Labellerr product releases and feature updates
- [August 2026 - Product Updates](https://docs.labellerr.com/product-releases/aug-2026.md): Workspace-level user management, audio support in video annotation, optimized video streaming, SSO enforcement, IP allowlisting, and a unified timeline for annotated objects.
- [June 2026 - Product Updates](https://docs.labellerr.com/product-releases/june-2026.md): Introducing Master Control for event tagging and full SAM 3 support with visual, click, and text-based prompting.
- [May 2026 - Product Updates](https://docs.labellerr.com/product-releases/may-2026.md): Smarter hand and pose tracking up to 33 points, attribute filtering, and redesigned keypoint template setups.
- [April 2026 - Product Updates](https://docs.labellerr.com/product-releases/april-2026.md): Improvements across annotation precision, review workflows, usability, and video handling.
- [March 2026 - Product Updates](https://docs.labellerr.com/product-releases/march-2026.md): Redesigned UI/UX, keypoint skeleton annotation, template versioning, and workspace-level guidelines
- [Product Updates 2025](https://docs.labellerr.com/product-releases/2025.md): Stay up to date with the latest Labellerr product releases and feature updates
- [March 2025 - Product Updates](https://docs.labellerr.com/product-releases/march-2025.md): Advanced precision editing tools and better collaboration features
- [April 2025 - Product Updates](https://docs.labellerr.com/product-releases/april-2025.md): AI-powered automation and intelligent workflow optimization with GenAI
- [May 2025 - Product Updates](https://docs.labellerr.com/product-releases/may-2025.md): Completely redesigned workflow experience with new landing page, datasets section, and API keys management
- [June-July 2025 - Product Updates](https://docs.labellerr.com/product-releases/june-july-2025.md): Advanced file search, polyline annotations, and dataset management improvements
- [August 2025 - Product Updates](https://docs.labellerr.com/product-releases/august-2025.md): Frame-by-frame precision in video annotation, SAM2 tracking, and enhanced visibility filters
- [September 2025 - Product Updates](https://docs.labellerr.com/product-releases/september-2025.md): Smarter project indexing, polyline grouping, and required object annotations
- [October 2025 - Product Updates](https://docs.labellerr.com/product-releases/october-2025.md): File tagging, full-screen view mode, SDK automation, and enhanced canvas shortcuts
- [November 2025 - Product Updates](https://docs.labellerr.com/product-releases/november-2025.md): SAM3 integration, preview strips, polygon splitting, boundary annotations, and SDK enhancements
- [December 2025 - Product Updates](https://docs.labellerr.com/product-releases/december-2025.md): MCP Server launch, SAM3 local pipeline, selective user import, incremental exports, and video pre-annotations
- [Changelog](https://docs.labellerr.com/changelog.md): Version history and release notes for the Labellerr annotation tool
- [Fine-tune YOLO for various use cases](https://docs.labellerr.com/cookbooks/fine-tune-yolo.md)

## OpenAPI Specs

- [openapi](/api-reference/openapi.json)

## Optional

- [Website](https://labellerr.com)