Getting Started with Lidar Labeler App, Part 4: Labeling Automation Using Pretrained Deep Learning Models
From the series: Getting Started with Lidar Labeler App
This is the last video of a four-part series. It will describe a deep learning automation algorithm designed for computer vision tasks in 3D point clouds.
Users can utilize pretrained deep learning models or import their own custom-trained models for object detection. The algorithm supports both cuboid and semantic label outputs, providing flexibility and accuracy in labeling.
The automation algorithm maps the network output to the defined label definitions, streamlining the labeling process and producing precise results.
Published: 13 Nov 2023
Featured Product
Lidar Toolbox
Related Videos:
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)