3D point cloud labeling is used for training AI models such as CV and unmanned driving.
At present, there are two mainstream 3D point cloud labeling methods.
3D point cloud continuous frame annotation is the most widely used in autonomous driving scenarios and requires high three-dimensional space perception and multi-frame collaborative processing capabilities.
Point Cloud Semantic Segmentation Annotation:
The object in the same category is labeled in the same color, accurately identifying pedestrians, cars, and other objects, and helping vehicles understand the road environment.
Now let’s have a look at a LiDAR point cloud annotation project.
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