Annotation platform
The complete platform for AI training data
Label images, video, audio, text and 3D point clouds in one place, with built-in quality control, team workflows and cloud integrations.
Features
Everything your annotation team needs
Annotation canvas
Label faster with a keyboard-first canvas
Draw boxes, polygons, keypoints, polylines and cuboids directly in the browser. Numbered classes, a live annotation list and appearance controls keep dense work, like floor-plan segmentation, fast and precise.
- Box, polygon, keypoint, polyline, cuboid and brush tools
- Numbered label classes with keyboard switching
- Live annotation list with per-object visibility
- Brightness, contrast, fill and stroke opacity controls
- Comments and page-by-page navigation on multi-page assets
Projects & batches
Organize data into projects and batches
Every dataset lives in a project. Split assets into batches, assign each batch to an annotator and track its progress, while the asset grid shows every file's status and annotation count.
- Batches with assignee, progress and date
- All, Annotated and Unannotated tabs with counts
- Search assets and filter by status
- Grid and list views with annotation counts per asset
- Add data and export from the same screen
Project analytics
See progress and quality for every project
Each project has its own analytics: asset status, label distribution, daily annotation activity and a team performance table, so managers know exactly where work stands.
- Totals: assets, annotations, accepted, in review
- Asset status breakdown and review accuracy
- Label distribution across classes
- 14-day annotation activity
- Per-annotator output, average per day and contribution
Workspace dashboard
Your whole organisation at a glance
The dashboard rolls every project up into one view: total projects, assets and team members, overall completion, plan usage and how your team is split across roles.
- Projects, assets, members and completion at the top
- Overall progress split into Ready, In Progress and Done
- Plan usage for members, projects, assets and annotations
- Team breakdown by Managers, Reviewers and Annotators
Team & activity
Know who is doing what
Top annotators, the most-used labels and recent projects sit right on the dashboard, with each project's annotation type and progress, so you can jump straight to the work that needs attention.
- Leaderboard of top annotators
- Most-used labels across the workspace
- Recent projects with annotation type and progress
- Role-based access for Owner, Manager, Reviewer and Annotator
How it works
From raw files to a labeled dataset
- Step 01
Upload your data
Drag and drop image, video, audio or text files, or connect an AWS S3 or GCS bucket.
- Step 02
Configure the project
Define label classes, annotation type and QA rules, then split data into batches.
- Step 03
Annotate
Annotators label assets with the full toolset, shortcuts and live class switching.
- Step 04
Review & approve
Reviewers approve, reject with comments or request corrections, batch by batch.
- Step 05
Export
Download COCO, YOLO or VOC, or push straight to your cloud storage.
FAQ
Questions about the platform?
Everything you need to know before you start annotating.
Get started
Ready to build better training data?
Start for free, no credit card required. Upgrade when your team is ready.