March 2026 - Product Updates

This month’s product updates bring a refreshed user experience, smarter AI-assisted labeling, and expanded annotation capabilities. From Labellerr’s redesigned interface to keypoint annotation with skeleton building, template versioning, and workspace-level guidelines, these features are designed to accelerate annotation speed, reduce clicks, improve collaboration, and support more complex labeling workflows.

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1. Labellerr UI/UX Updates

Labellerr brings a completely redesigned interface focused on reducing friction and improving annotation speed. Key interactions have been streamlined so annotators can stay in flow without unnecessary clicks or navigation. Key Improvements:

• Quickly switch between AI Mode and Manual Mode using keyboard shortcuts, press A for AI Mode and M for Manual Mode after selecting any annotation
• Right-click context menu for quick access to actions
• Draggable attributes popup for a flexible, clutter-free workspace
• Selection tool for managing multiple annotations at once
• SAM-powered label refinement for faster and more accurate results
• Change labels instantly via right-click on any annotation, select Change Label from the context menu and pick the new label without leaving the canvas
• Auto-detect and generate polygons using SAM with bounding box input for higher precision

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2. Keypoint Annotation

Keypoint annotation now extends beyond individual point marking, you can build fully connected skeletons directly within your workflow. This unlocks more advanced use cases across pose estimation, facial recognition, and skeletal mapping. Key Features:

• Mark specific points of interest on images with high precision
• Connect keypoints to build and visualize complete skeletons
• Supports complex multi-point annotation structures
• Ideal for pose estimation and facial landmark detection
• Perfect for biomechanics, sports analytics, and human body mapping

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3. Template Versioning

Template versioning gives teams full control over their annotation templates across projects. You can now track changes, manage versions, and roll back when needed without disrupting active workflows. Key Features:

• Create and save multiple versions of annotation templates
• Track changes across project timelines
• Revert to previous versions with ease
• View version history with creator name and timestamp
• Apply any specific version to a project directly from the annotation settings

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4. Workspace Level Guidelines

A dedicated Guidelines section is now available at the workspace level, making it easier to create, version, and manage annotation standards across all projects from one central place. This eliminates inconsistency and keeps every annotator aligned without project-by-project setup. Key Features:

• Dedicated Guidelines section accessible directly from the workspace sidebar
• Create and manage multiple guidelines with full version history
• Track number of questions, versions, and linked projects at a glance
• Filter and search guidelines by name or creator
• Link guidelines to multiple projects from a single place

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How These Updates Help You

• Smarter Labeling: AI-assisted tools and right-click label changing help annotators work faster with fewer interruptions and repetitive clicks.
• Better Collaboration: Workspace-level guidelines ensure every team member follows the same annotation standards across all projects.
• Greater Precision: Keypoint annotation with skeleton building enables accurate, structured marking for complex computer vision use cases.
• Consistent templates: Template versioning gives teams full control over annotation templates, reducing errors and maintaining quality across project cycles.
• Cleaner Experience: A redesigned UI with draggable popups, context menus, and selection tools makes the annotation workspace more intuitive and efficient.

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Conclusive Thoughts

This month’s updates reflect our continued focus on making annotation faster, more precise, and easier to manage at scale. With a redesigned interface, skeleton-based keypoint annotation, centralized guidelines, and template versioning, teams can now build more consistent and efficient labeling workflows. These improvements were shaped by real annotation challenges across computer vision, healthcare, and large-scale dataset operations. Each update is designed to reduce manual effort and bring more clarity and control into the labeling process. As we prepare for the next set of releases, we remain focused on helping teams scale with confidence through smarter tools, cleaner UX, and deeper workflow automation. The Labellerr Team

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FAQs

Q1. How does the new right-click context menu improve the annotation workflow? The right-click context menu gives annotators instant access to key actions such as changing labels, editing attributes, assigning groups, and accessing AI tools, all without leaving the canvas or navigating through separate menus. This significantly reduces clicks and keeps the annotation flow uninterrupted. Q2. What is the difference between Template Versioning and Workspace Level Guidelines? Template Versioning allows teams to track, manage, and roll back changes to annotation templates across different versions, ensuring no work is lost during updates. Workspace Level Guidelines, on the other hand, provide a centralized place to define and share annotation standards that apply across all projects in a workspace, ensuring consistency without requiring per-project setup. Q3. How does keypoint annotation with skeleton building benefit computer vision workflows? By connecting individual keypoints into a fully linked skeleton structure, annotators can capture spatial relationships between points, essential for tasks like pose estimation, action recognition, and human body mapping. This removes the need for external tools and keeps the entire skeleton annotation workflow within Labellerr. Q4. Can I apply a specific template version to an existing project without affecting other projects? Yes. Template versioning is managed at the project level through the annotation settings. You can view all available versions of a guideline and apply any specific version to a project independently, without impacting other linked projects.