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This article applies to these versions of LandingLens:
LandingLensLandingLens on Snowflake
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LandingLens is a cloud-based computer vision platform. LandingLens empowers you to create and train computer vision models—even if you don’t have a background in AI, machine learning, or computer vision. LandingLens guides you through the process of uploading images, labeling them, training models, comparing model performance, and finally—deploying models. To support users who are familiar with machine learning, LandingLens includes advanced tools to customize the model training process. LandingLens also supports advanced deployment options via Docker and LandingEdge, our edge-deployment solution.

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Continuous Learning

After you’re running inference on your model, you can continue to fine-tune it! You can automatically add images that you’ve run inference on into your dataset in LandingLens, and then retrain your model with that new data. This process of continuous learning ensures that your model and process evolve when you need them to.

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Use Computer Vision Models from LandingLens

After you’ve trained a model in LandingLens, you can deploy it using a variety of deployment options. Additionally, Developers can use our Python and JavaScript API libraries to programmatically run inference.