Getting Started with Lidar Labeler App
This four-part video series provides an overview of the Lidar Labeler app from MATLAB® and its various features for labeling 3D point cloud data.
It covers manual labeling, assistive labeling with algorithms such as “Snap to Cluster” and “Semantic Labeling,” automation algorithms including “Lidar Object Tracking,” and deep learning automation algorithms.
The videos explain how to use the app to:
- Visualize, label, and manipulate data
- Create label definitions
- Apply labels to objects and regions
- Manage attributes and scene labels
- Generate visual summaries
- Export labeled data
The series emphasizes the app’s ability to reduce human effort, streamline the labeling process, and achieve precise results.
Part 1: Manual Labeling Using Lidar Labeler App
Learn how to use the Lidar Labeler app for loading, visualization, label definition creation, manual labeling, visual summary, and export.
Part 2: Assistive Labeling in Lidar Labeler App
Learn how to use clustering algorithms to label data, snap points to clusters, and more.
Part 3: Labeling Automation in Lidar Labeler app
Learn how to use existing automation algorithms and bring user-specific algorithms into the Lidar Labeler app.
Part 4: Labeling Automation Using Pretrained Deep Learning Models
Learn how to use existing deep learning inferences and bring in new models in the Lidar Labeler app.
