Semantic segmentation associates each point in a 3-D point cloud with a class
label, such as
vegetation. Lidar Toolbox™ provides deep learning algorithms to perform semantic segmentation on
point cloud data. Use PointSeg and SqueezeSegV2 convolutional neural networks (CNN) to
develop semantic segmentation models.
Lidar Toolbox also provides the object detection CNN PointPillars for developing custom object detection models.
Understand how to use point clouds for deep learning.