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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  1. Advanced

Creating jobs with pre-labeled data

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Last updated 11 months ago

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If you have data which has been labeled previously by an ML model or by human labelers, you can create jobs with such labels already created. To do this, you need to send the annotation data in the data.maker_response key in the payload. The annotation data needs to be in our annotation format.

You can follow these examples to get started:

Image Annotation
Image Segmentation
Video Annotation
3D Point Cloud Annotation