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      Developer Tools
      • 10 May 2024
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      Contents

      Developer Tools

      • Updated on 10 May 2024
      • 1 Minute to read
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      Article Summary

      Landing AI offers these developer tools to accelerate your deployment process and heighten your creativity

      The APIs and libraries include practical examples of how to run inference using models you've developed in LandingLens. The Landing AI libraries are available in GitHub.

      Note:
      We plan to add a C# library in the future.

      REST APIs

      Use the REST APIs to perform many tasks, including:

      • Upload images to LandingLens.
      • Create projects.
      • Create classes.
      • Assign split keys (Dev, Train, Test) to images.
      • Train models.
      • Deploy models.

      Python Library

      Use the Python library to:

      • Upload labeled and unlabeled images to LandingLens.
      • Capture images from various sources (video files, webcams, RTSP streams, etc.).
      • Assign metadata values and split keys (Dev, Train, Test) to images.
      • Get prediction results from your deployed model.
      • Post-process your prediction results into other formats.
      • Visualize your prediction results.
      • Chain multiple model inference and post-processing operations together.

      To learn more, check out these resources:

      JavaScript Library

      Use the JavaScript library to:

      • Get prediction results from your deployed model.
      • Visualize your prediction results.
      • Upload unlabeled images from your app.

      To learn more, check out the Landing AI JavaScript repository.

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