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      Landing AI Libraries
      • 02 Mar 2024
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      Contents

      Landing AI Libraries

      • Updated on 02 Mar 2024
      • 1 Minute to read
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      Article Summary

      Landing AI offers Python and JavaScript libraries to accelerate your deployment process and heighten your creativity. The 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.

      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 key (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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