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Pointcloud labeling for training
This page is about labeling pointcloud to serve custom AI-training jobs and create detectors to be used in the Analysis Engine.
Step by step
- Create a trajectory file that will be used as a canvas to easily navigate through the scene and label all elements of interest
- Drag & drop your mapping run
- Create a vector resource for trajectory
- Create an asset class that will be labeled (e.g: pylons)
- Select pointcloud to attribute to an asset object
- Generate consolidated classified pointcloud + assets to serve AI-detector training
- Pointcloud selection to classification
Last modified:: 2024/02/07 05:24