| LandingLens | LandingLens on Snowflake |
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Learn how to boost efficiency in Segmentation projects by labeling images faster with Smart Labeling.
Welcome to the new home for LandingLens and LandingEdge documentation!
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
Classes & Labels
Use Smart Labeling to Label Images in Segmentation Projects
This article applies to these versions of LandingLens:
⌘I