Labeling
Use the Lidar Labeler app to interactively label ground truth data in a point cloud or a point cloud sequence. You can label cuboids and polylines for object detection, voxels for semantic segmentation, and scenes for point cloud classification. To learn how to label a point cloud sequence, see Get Started with the Lidar Labeler.
The app provides algorithms to automate the labeling process for object tracking and interpolation. You can use one of the included algorithms, or create and import a custom automation algorithm. For more information, see Create Automation Algorithm for Labeling.
You can also use Lidar Toolbox™ functions to define labels and programmatically automate the labeling process.
Apps
| Lidar Labeler | Label ground truth data in lidar point clouds |
Functions
Topics
Get Started
- Get Started with the Lidar Labeler
Interactively label a point cloud or point cloud sequence. - Keyboard Shortcuts and Mouse Actions for Lidar Labeler
Use keyboard shortcuts and mouse actions to increase productivity while using the Lidar Labeler app. - Use Custom Point Cloud Source Reader for Labeling
Create a reader function to load a custom image data source into the Lidar Labeler. - Connect Image Display to Lidar Labeler
Connect an image display tool to the Lidar Labeler app.
Automate Labeling
- Create Automation Algorithm for Labeling
Create a custom automation algorithm to use in a labeling app. - Temporal Automation Algorithms
Create a time-based custom tracking algorithm to import into a labeling app.
Featured Examples
Automate Ground Truth Labeling for Point Cloud Using Pretrained Deep Learning Model
Automate labeling in a point cloud using a pretrained deep learning model in the Lidar Labeler app.
Automate Ground Truth Labeling for Vehicle Detection Using PointPillars
Automate vehicle detections in a point cloud using a pretrained pointPillarsObjectDetector in the Lidar Labeler app. The example uses the AutomationAlgorithm interface in the Lidar Labeler app to automate labeling.
Automate Ground Truth Labeling for Lidar Point Cloud Semantic Segmentation Using Lidar Labeler
Automate semantic labeling in a point cloud using a pretrained semantic segmentation network in the Lidar Labeler app. In this example, you can use the AutomationAlgorithm class to automate labeling in the Lidar Labeler app.
