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Why Studio
Best-in-class annotation infrastructure to accelerate your team.
Optimize quality
Measure and improve quality with built-in features like training courses, benchmark tasks, advanced review layers, and annotator consensus.
Flexible setup
Easily set up and manage your projects using the in-platform visual project creator, or leverage our API for even more advanced capabilities.
Manage and evaluate
Gain visibility into annotator metrics such as throughput, efficiency, and accuracy, with comprehensive management features.
Intuitive tooling
Leverage Scale’s best-in-class annotation tools to easily segment, box, categorize, or transcribe your data.
Accelerate annotation
Import your model-annotated data to give your annotators a head start, getting to high-quality annotated data even faster.
Customize workflows
Design any combination of first-attempt annotators and reviewers, enable annotator-administrator communication, and export results via API or platform.
See it in action
Speed up your annotation with ML.
Indicate Objects to Annotate
With one click, Scale’s ML model can detect the object to be annotated, with the ability for further refinement.
Adjust Granularity
The annotator can adjust the number of vertices of the model prediction to suit the complexity of the object.
Refine Model Prediction
The annotator has the option to add additional points to “teach” the model what to include or exclude.
How It Works
Set up, annotate, and optimize
Upload Data
Develop Taxonomy
Write Instructions
Add Annotators to Projects
Data Inputs
Supported Annotation Types
Scale Text
Classification
Named Entity Recognition
Transcription
Scale Audio
Classification
Scale 3D Sensor Fusion
Cuboid
Scale Video
Bounding Box
Classification
Cuboid
Ellipse (Multi-Geometry)
Lines & Splines
Point
Polygon
Scale Image
Bounding Box
Classification
Cuboid
Ellipse (Multi-Geometry)
Lines & Splines
Point
Polygon
Segmentation
Pricing
Explore Pricing
Monthly Subscription Fee
(Billed Annually Upfront)
$0
Annually Included Labeling Units
1,000
Supported Data Types
Images, Video, Text, Documents
Training & Evaluation Tasks
2 Training Tasks, 5 Evaluation Tasks
Orchestration, Collaboration, and Management
Review Layers, Consensus, In-Task Comments, Annotator Insights Dashboard
Pre-labeling Support
Not included
Data Storage Options
Scale Cloud
Additional Labeling Units (LUs) can be purchased. 1 annotation (e.g., bounding box, polygon) of most task types counts as 1 LU. 1 attribute (e.g., a color of a labeled object) counts as 0.5 labeling units. Exceptions include: Video annotations are 0.25 LUs each and video attributes are 0.1 LUs each. LiDAR annotations are 7 LUs each.
