Aurora Cloud Deep Learning
  • 1. Introduction
  • 2. Step by step guide
  • 3. Process of creating a dataset
  • 4. Export JSON format
  • 5. Imports
  • 6. Available Resources
  • 7. Breaking changes
  • 8. Dictionary
Aurora Cloud Deep Learning
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  • Welcome to ACDL Api’s documentation!
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Welcome to ACDL Api’s documentation!¶

Create large accurate training datasets fast! ACDL makes Machine Learning data preparation simple by enabling flawless team collaboration, for annotating experts, review experts, and workspace owners.

To make the process of preparing data faster, we have created a public ACDL API. It will allow you to integrate your systems with your data in ACDL.

  • 1. Introduction
  • 2. Step by step guide
    • 2.1. API Key generation
    • 2.2. Choosing API Version
    • 2.3. First request
      • 2.3.1. Using our site
      • 2.3.2. Using Postman
      • 2.3.3. Using command line with curl
    • 2.4. Using API in your own application
      • 2.4.1. Generating client with the online swagger editor
  • 3. Process of creating a dataset
  • 4. Export JSON format
    • 4.1. JSON definition
      • 4.1.1. ExportFileSchemeVersion
      • 4.1.2. ConfigurationVersion
      • 4.1.3. AnnotationVersion
      • 4.1.4. SetVersion
      • 4.1.5. ProjectName
      • 4.1.6. VersionGenerated
      • 4.1.7. DataFilterType
      • 4.1.8. TotalAnnotationPoints
      • 4.1.9. Tools
      • 4.1.10. Questions
      • 4.1.11. DataSets
    • 4.2. Sample formatted JSON file
  • 5. Imports
    • 5.1. Import projects
    • 5.2. Import annotations
  • 6. Available Resources
    • 6.1. Api [v. 1.0]
      • 6.1.1. Endpoints
      • 6.1.2. Models
  • 7. Breaking changes
  • 8. Dictionary
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