The market leader in Annotation for Sensor-Fusion data
1 000 000+
Processed annotations by industry leaders
Up to 3x
Faster processing times to lower costs
Up to 68%
Time saved in annotation using auto-labels
Annotation features
3D Cuboids
3D Multilidar cuboids
3D Polylines
3D Polylanes
3D Semantic segmentation
3D Points
3D Curves
2D Bounding box
2D Polygons
2D Points
2D Curves
Grouping of shapes
Pre-annotation support
Sensor fusion use cases
2D/3D Lane + road markings
2D/3D Dynamic objects
2D/3D Static objects
2D Instance segmentation
3D segmentation
Interior sensing
Scene classifcation
Trafic signs recognition
Trafic light recognition
Freespace annotation
Parking spot detection
Camera blockage annotation
Light source detection
Auto-label quality control
Driver monitoring annotation
Pre-label workfow
Automation
Multi-sensor projections
Ego motion compensation
Segment anything model integration
2D/3D Objection tracking
2D/3D box auto adjust
2D Bbox from 3D cuboids projections
2D - 3D Semseg
Auto-filter static objects
Automatic static qualitychecks
Project management
User statistics, including productivity
Role-based access levels
Role-based automatic taskallocation
Sandbox mode playground
APIs for data upload/export
Custom workfows
Taxonomy editor
Input format
Images: JPG, PNG
Pointcloud: PCD, LAS, CSV
Export formats
OpenLABEL
json
Custom converters available
