Landing AI SDK

Landing AI offers a software development kit (SDK), available in GitHub.

We crafted this development kit aimed to accelerate your deployment process and heighten your creativity, conveniently packaged for you to explore and expand upon in both Python and JavaScript, with plans to add C# soon.

In this SDK, you will find practical examples about how to run inference using models you've developed in LandingLens.

Python Library

Use the Python library to:

• Upload labeled and unlabeled images to LandingLens (for supported label file types, go here).
• 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:

• Landing AI Python repository
• Landing AI Python Library API Reference
• Landing AI Python Library User Guide
• Landing AI Python Library Developer Guide

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.