Powerful A.I. Labeling Platform
Create high-quality training datasets for your machine learning models with our intuitive annotation tools. Support for bounding boxes, polygons, and segmentation.
Annotation Examples
Bounding Box Annotation
Fast and efficient object detection labeling with rectangular bounding boxes. Perfect for training YOLO, SSD, and other object detection models.
Polygon Annotation
Precise polygon-based labeling for complex shapes. Ideal for instance segmentation and semantic segmentation tasks with Mask R-CNN and U-Net models.
Platform Features
Everything you need to create professional-grade training datasets
Fast & Efficient
Intuitive tools and keyboard shortcuts for rapid annotation
Multiple Formats
Support for bounding boxes, polygons, and segmentation masks
Team Collaboration
Work together with project members and track progress
How It Works
Create Project
Set up your annotation project and define classes
Upload Images
Add your images to datasets for labeling
Annotate
Use our tools to label objects precisely
Export
Download annotations in your preferred format
Simple, Transparent Pricing
Choose the plan that fits your medical imaging needs
Trial
Perfect for evaluation and small projects
- 1 Project
- 500 Files
- Basic annotation tools
- DICOM support
- Export annotations
Pro
For professional medical imaging teams
- 5 Projects
- 5,000 Files
- Advanced annotation tools
- Full DICOM support
- Team collaboration
- Priority support
Enterprise
For large-scale medical research institutions
- Unlimited Projects
- Unlimited Files
- Custom workflows
- Dedicated support
- On-premise deployment
- SLA guarantee
Ready to Start Labeling?
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