# Labellerr Documentation ## Docs - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [Automobile](https://docs.labellerr.com/cookbooks/automobile.md) - [Build your AI Agents](https://docs.labellerr.com/cookbooks/build-ai-agents.md) - [Fine-tune YOLO for various use cases](https://docs.labellerr.com/cookbooks/fine-tune-yolo.md) - [Healthcare](https://docs.labellerr.com/cookbooks/healthcare.md) - [Manufacturing](https://docs.labellerr.com/cookbooks/manufacturing.md) - [Model Notebooks](https://docs.labellerr.com/cookbooks/model-notebooks.md) - [Retail](https://docs.labellerr.com/cookbooks/retail.md) - [Robotics](https://docs.labellerr.com/cookbooks/robotics.md) - [Security](https://docs.labellerr.com/cookbooks/security.md) - [Sports](https://docs.labellerr.com/cookbooks/sports.md) - [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 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. - [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. - [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. - [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. - [Segment Anything](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. - [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. - [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. - [Reviewing File-Level Remarks by Annotators and Reviewers](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. - [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 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 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 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. - [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 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. - [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. - [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. - [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) - [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. - [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. - [Product Updates 2025](https://docs.labellerr.com/product-releases/2025.md): Stay up to date with the latest Labellerr product releases and feature updates - [Product Updates 2026](https://docs.labellerr.com/product-releases/2026.md): Stay up to date with the latest Labellerr product releases and feature updates - [April 2025 - Product Updates](https://docs.labellerr.com/product-releases/april-2025.md): AI-powered automation and intelligent workflow optimization with GenAI - [April 2026 - Product Updates](https://docs.labellerr.com/product-releases/april-2026.md): Improvements across annotation precision, review workflows, usability, and video handling. - [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 - [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 - [June-July 2025 - Product Updates](https://docs.labellerr.com/product-releases/june-july-2025.md): Advanced file search, polyline annotations, and dataset management improvements - [March 2025 - Product Updates](https://docs.labellerr.com/product-releases/march-2025.md): Advanced precision editing tools and better collaboration features - [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 - [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 - [November 2025 - Product Updates](https://docs.labellerr.com/product-releases/november-2025.md): SAM3 integration, preview strips, polygon splitting, boundary annotations, and SDK enhancements - [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 - [September 2025 - Product Updates](https://docs.labellerr.com/product-releases/september-2025.md): Smarter project indexing, polyline grouping, and required object annotations - [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. - [SDK Changelog](https://docs.labellerr.com/sdk/changelog.md): Track updates, improvements, and breaking changes across Labellerr SDK versions - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. - [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. ## OpenAPI Specs - [openapi](https://docs.labellerr.com/api-reference/openapi.json) ## Optional - [Website](https://labellerr.com)