Navigate the bustling urban scenes with absolute assurance with consistent tracking IDs for your ML models.
Persistent object ID: Whether it’s objects in a packed city sidewalk or a tranquil park path, maintain consistent object identification through diverse scenes.
Maximized efficiency: Accelerate your deployment by reducing reconciliation durations and boosting model precision.
Occlusion management: Ensure continuous labeling by skillfully managing occlusions and maintaining object identification during interruptions.
Go faster from POC to production to scale by labeling multiple sensor in 1 effort, only requiring minimal corrections
Simplified labeling: Project from 3D to 2D data with a click, accessing pre-labeled datasets on all cameras that require minimal fine-tuning.
Flexible exporting: Instance, semantic or panoptic? Export your data in multiple formats depending on your needs.
Improve your delivery robot’s navigation and ensure safe, efficient parcel delivery.
Augmented labeling context: Blend 2D and 3D sensor data, sharpening object differentiation and enhancing labeling precision—key to identifying drivable spaces amidst obstacles.
Smart labeling workflows: Maintain labeling uniformity by enabling a single annotator to label all sensor data in a single interface.
Accurate object classification: Ensure correct object classification for your project with rapid, accurate object identification across all delivery terrains.