Superb Label
Annotation and data management that makes data work, less work
More than just a labeling solution - it’s a better way to work with data, together. From the easiest-to-use annotation tools to adaptable models for labeling and QA automation, you’ll feel the difference instantly and build better datasets faster.
One hub for your data and ML teams
Start every project off right with sleek annotation tools, collaboration built into every aspect, and 360° visibility on effort and outcomes. With the right solution, every role is empowered to do what they do best, and teams stay aligned to deliver amazing data at every iteration.
Get started in minutes, and work simpler
Create your project
Upload data/use cloud storage
Write annotation instructions
Add annotators to projects
Optionally assign labels
Annotate data
Resolve issues within labels
Audit results
Create golden datasets
Create ground truth datasets
Train adaptable model
Review difficult annotations
Optionally retrain model
Apply custom model to dataset
Monitor team performance
Track labeling time
Mitigate data bias
Data Annotation
Label images and videos painlessly
Build the best datasets faster and achieve higher volume with annotation tools your labelers, domain experts, and reviewers will actually want to use. Sleek UI, dedicated project dashboards, and integrated communication, guidelines, and feedback mean everyone works better together.
Supported Annotation Types
Image Annotation
Bounding Box
Rotated Box
Polyline
Polygon Segmentation
Keypoint
2D Cuboid
Classification
Cuboid
Video Annotation
Bounding Box
Polyline
Polygon Segmentation
Keypoint
Classification
LiDAR Annotation
Cuboid (Coming soon)
How it works
Data & Project Management
Optimize data pipelines and workforces
Manage all your raw and labeled computer vision data, labeling workforces, and projects through a single interface packed with workflow enhancers like issue and performance tracking, structured review processes, and deep project and label analytics. Discover just how easy managing your data can be.
“ML Data Management is one of the most critical components for those of us in machine learning development. Being able to use Superb AI Suite to manage, collaborate, and iterate across our teams has sped up our ML development cycle immensely.”
Steffen True
