Sama Annotate
3D Point Cloud Annotation Solutions
Sama provides unparalleled tools and expertise to deliver uncompromisingly high-quality ground truth annotations for your LiDAR, Radar, and other 3D data.
25% of Fortune 50 companies trust Sama to help them deliver industry-leading ML models
3D Point Cloud Annotation Solutions
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.
- Capture objects in a one-click cuboid
- Use interpolation between key frames for enhanced annotation efficiency
- Apply static and dynamic annotations 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.
- Use 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.
- Use 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.
- Apply sensor fusion between multiple sensor types, synchronizing all frame sequences
- Project 3D objects within the point cloud into 2D RGB images
How Sama 3D Point Cloud Annotation works
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.
Project 3D objects within the point cloud into 2D RGB images.
World coordinate conversion: by providing the sensor’s pose, our solution converts your point clouds from local coordinates to world coordinates.
Accelerate annotation by removing visual noise and enhancing accuracy by ensuring ground points are not labeled as another class. Extend a classic morphological approach with semi-supervised learning with our automatic ground detection.
Color map visualization for intensity values and custom ranges for focusing the color map on lower-intensity objects.
Why Choose Sama
Sama delivers not only accurate data annotation, but insights and recommendations via our vertically integrated platform combined with human-in-the-loop experts, all while embracing an ethical AI approach. This is why companies come to us when other data annotation solutions fail.
95+%
Guaranteed data accuracy
160M
Events tracked per month to improve our product and processes with A/B testing
65K+
Lives impacted to date thanks to our purpose-driven business model
