Sama Annotate
3D Point Cloud Annotation
Sama provides unparalleled tools and expertise to deliver uncompromisingly high-quality ground truth annotations for your LiDAR, Radar, and other 3D data.
Trusted by the world’s most innovative companies
3D Point Cloud Tools
Our advanced 3D LiDAR & Radar annotation tools and workspace enhancements enable rapid labeling of your moving objects across multiple frames and speed your model to market.
Feed your perception models with an object’s 3D pose and attributes. Annotate objects like vehicles, vulnerable road users, traffic signs, traffic lights, etc.
-
One-click cuboid
-
Use interpolation between key frames for enhanced annotation efficiency
-
Use static and dynamic labels to grab object properties for your detection and prediction models
Feed your drivable area models with ground truth annotation of curbs, road pavement, and lane markers.
-
Custom intensity sliders to facilitate object identification on low intensity points
-
ML-ground detection for “Z” values attribution
Feed your drivable area models with ground truth annotation of traffic islands, over drivable objects, or any other object on the ground.
-
Custom intensity sliders to facilitate object identification on low intensity points
-
ML-ground detection for “Z” values attribution
Annotate objects in 3D point clouds and 2D RGB images with fused object ID to give you all the valuable information from multiple sensors.
-
Sensor fusion between multiple sensor types, synchronizing all frame sequences
-
Projection of 3D objects within the point cloud into 2D RGB images
Annotate each point in 3D point clouds to precisely capture and assign each point to the right object.
-
Semantic segmentation and panoptic segmentation
-
Instance annotation with complex taxonomies requirements
-
Fused point cloud for faster annotation
3D Point Cloud Features
Supports pre-annotations, including manual or model-generated labels for enhancing speed or annotation, or validating model performance.
Supports multiple sensors with a fused sensor architecture, which syncs all the assets to enhance the data for annotation.
Projection of 3D objects within the point cloud into 2D RGB images.
World coordinate conversion. By providing the sensor’s pose, our platform will convert your point clouds from local coordinates to world coordinates.
Extending a classic morphological approach with semi-supervised learning for our automatic ground detection.
Color map visualization for intensity values and custom ranges for focusing the color map on lower-intensity objects.
95%+
Data accuracy — guaranteed — compared to 88.5% for leading competitors.
160M
Events tracked per month to improve our product and processes with A/B testing.
59K
Lives impacted to date thanks to our purpose-driven business model.
Why Choose Sama
Sama 3D point cloud annotation experts leverage our ML-powered platform to deliver labels with unmatched accuracy and speed.
Efficient Annotation Platform
ML Assisted Annotation powered by MICROMODEL™ technology helps labelers annotate 2-4x more efficiently, while predictably producing 94-98% IOU.
Full Spectrum Labeling
Custom classes, multiple attributes per instance, and hierarchical relationships are available to meet your needs.
Multi-Level Quality Control
AutoQA, Gold Tasks, and advanced scripting detect errors early in the pipeline. Our skilled QA team focuses on solving edge cases that can slow the path to production.
Analytics and Reporting
Get deep insights into your training data, including edge case alerts and analysis of the classes in your dataset to bring your AI models to production faster.
