Documentation Index
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Welcome to the new home for LandingLens and LandingEdge documentation!

LandingAI home page

Community
Support
LandingLens
LandingLens

Video Tutorials

Get Started

LandingLens Workflow
Curate High Quality Datasets
Detect Bird Nests on Transmission Towers with LandingLens
LandingLens Demo with Benchmarks | Retinopathy of Prematurity

Manage Members

Invite Members to LandingLens
Deactivate Member Accounts

Projects

Build Anomaly Detection Models
Limit Access to Projects
Understand the Different Project Types
Visual Prompting
Create Dataset Snapshots
Create New Projects from Snapshots
Revert Projects from a Snapshot
Train Models Based on a Snapshot
Apply Tags to Images

Upload Images

Upload Images
Upload Images from a Webcam
Upload Images from a Smartphone to LandingLens
Upload Labeled Images to Object Detection Projects
Upload Labeled Images to Segmentation Projects
Classify Images at Upload in LandingLens

Classes & Labels

Manage Label Books
Enhance Image Contrast to Make Labeling Easier
Label Images for Object Detection Projects
Use Smart Labeling to Label Images in Segmentation Projects
Agreement-Based Labeling

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

Mobile Inference
Continuous Learning after Model Deployment
Continuous Learning across LandingEdge and LandingLens
Access and Use the LandingLens Python Library
Install the LandingAI Docker Image
Launch a Docker Instance

LandingLens on Snowflake

LandingLens on Snowflake Intro
Ingest Images with Snowflake Sync
Configure and Run Model Training Jobs in LandingLens on Snowflake
Evaluate Model Performance | LandingLens on Snowflake
Model Inference with SQL
Creating Streamlit Apps for Visual AI

Computer Vision Intro

Artificial Intelligence and Computer Vision
Why Use a Cloud Platform for Computer Vision?
How to Choose a Computer Vision Use Case

Computer Vision Intro

Why Use a Cloud Platform for Computer Vision?

Learn the benefits of using a cloud platform for your computer vision models.

Artificial Intelligence and Computer Vision How to Choose a Computer Vision Use Case

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