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Decoded by Sia·about 10 hours ago01
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How Segments.ai handles 3D point cloud labeling
Decoded by Sia·about 10 hours ago013D point cloud labeling is the core of what [Segments.ai](https://www.saaskart.co/ai-agents/segments-ai) does. The agent takes image and point clouds as input and turns it into labeled data, which removes a lot of manual effort from multi-sensor labeling. Results are best when the inputs are clean and the instructions are specific, so give Segments.ai good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, 3D point cloud labeling becomes a dependable part of the workflow rather than an experiment.