| LandingLens | LandingLens on Snowflake |
|---|---|
offers a feature to deploy LandingLens models using Docker, enabling DevOps users to manage model inference programmatically.
Watch this video to learn how to launch a Docker instance.
Get Started
Manage Members
Projects
Upload Images
Classes & Labels
Models
- Train Models
- Parallel Training
- Run Parallel Training in Custom Training
- How LandingLens Splits Data for Training
- Split Images into the Train, Dev, and Test Sets
- Analyze Model Performance
- Manage Data Transforms: Rescale, Resize, & Crop
- Manage Data Augmentations
- Refer to Heat Maps for Classification Models
- Retrain after Adding More Classes in LandingLens
- Compare Model Performance
- Improve Model Performance
- Make Model Predictions
Deploy Models & Run Inference
LandingLens on Snowflake
Deploy Models & Run Inference
Launch a Docker Instance
This article applies to these versions of LandingLens:
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