API Reference
  • Introduction
  • Terminology
  • Authentication
  • Authentication
  • Basic operations
    • Create a batch
    • Create a job
    • Get project details
    • Get batch jobs
    • Get job result
  • Examples
  • Image Annotation
    • Create a job
    • Get job results
  • Image Segmentation
    • Create a job
    • Get job results
  • Video Segmentation
    • Create a job
    • Get job results
  • Video Annotation
    • Create a job
    • Get job results
  • 3D Point Cloud Annotation
    • Create a job
    • Output format
  • Point Cloud Segmentation
    • Create a job
    • Get job results
  • Secure Attachment Access
    • AWS S3
    • Google Cloud Storage
    • Azure Blob Storage
    • IP Whitelisting
    • Hybrid Cloud
  • Advanced
    • Creating jobs with pre-labeled data
  • Error Codes
    • Error Codes
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Point Cloud Segmentation

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Last updated 10 months ago

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In this section, We have added some examples to understand how to create an 3D point cloud annotation job and export the results once the job has been labeled.

GT Studio supports multi-sensor setups, i.e. where you have a point cloud along with images from multiple cameras. If you provide calibration information (poses of each sensor and camera intrinsic), the tool will automatically project annotations from the 3D space to the cameras.

We support 3D point cloud segmentation in our enterprise plan as a fully managed service offering. Please if you are interested in 3D point cloud segmentation.

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