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Video Library
- LandingLens
- LandingLens Workflow (Video)
- Detect Bird Nests on Transmission Towers with LandingLens (Video)
- Invite Members to LandingLens (Video)
- Deactivate Member Accounts (Video)
- Apply Tags to Images (Video)
- Upload Images (Video)
- Upload Images from a Webcam (Video)
- Upload Images from a Smartphone to LandingLens (Video)
- Upload Labeled Images to Object Detection Projects (Video)
- Upload Labeled Images to Segmentation Projects (Video)
- Classify Images at Upload in LandingLens (Video)
- Manage Label Books (Video)
- Agreement-Based Labeling (Video)
- Limit Access to Projects (Video)
- Understand the Different Project Types (Video)
- Visual Prompting (Video)
- Use Smart Labeling to Label Images in Segmentation Projects (Video)
- Enhance Image Contrast to Make Labeling Easier
- Label Images for Object Detection Projects (Video)
- Create Dataset Snapshots (Video)
- Create New Projects from Snapshots
- Revert Projects From a Snapshot
- Train Models Based on a Snapshot (Video)
- Train Models (Video)
- Parallel Training (Video)
- Run Parallel Training in Custom Training (Video)
- How LandingLens Splits Data for Training (Video)
- Split Images into the Train, Dev, and Test Sets (Video)
- Analyze Model Performance (Video)
- Manage Data Transforms: Rescale, Resize, & Crop (Video)
- Manage Data Augmentations (Video)
- Refer to Heat Maps for Classification Models (Video)
- Retrain after Adding more Classes in LandingLens (Video)
- Compare Model Performance (Video)
- Improve Model Performance (Video)
- Make Model Predictions (Video)
- API Key (Video)
- Mobile Inference (Video)
- Access and Use the LandingLens Python Library (Video)
- Install the LandingAI Docker Image (Video)
- Launch a Docker Instance (Video)
- Continuous Learning after Model Deployment (Video)
- Continuous Learning across LandingEdge and LandingLens
- LandingLens Demo with Benchmarks | Retinopathy of Prematurity
- LandingLens on Snowflake
- VisionAgent
- LandingEdge
- Download LandingEdge (Video)
- Download LandingEdge Diagnostics (Video)
- Roles and Permissions in LandingEdge (Video)
- Assign a GPU to an Inspection Point
- Configure Inspection Points Using Folder Watcher (Video)
- Run Inference on Videos in LandingEdge (Video)
- Run Inference with Web APIs in LandingEdge (Video)
- FAQs
- LandingLens
- Use LandingLens on Snowflake
- Install and Upgrade LandingLens on Snowflake
- Load Images from Snowflake into LandingLens
- LandingLens vs. LandingLens on Snowflake
- Run Inference with SQL Commands
- Snowflake Credit Management
- LLENS_PUBLIC Application Role
- Name of LandingLens Instance
- Grant LandingLens Access to Stages
- Back Up and Restore LandingLens on Snowflake
- LandingLens on Snowflake Release Notes
- Plans
- Get Started with LandingLens
- Image Capture Best Practices
- Members
- Projects
- Upload Images
- Classes
- Labeling
- Models
- Deployment
- Deployment Options
- Cloud Deployment
- Mobile Inference
- LandingEdge
- Use LandingEdge with LandingLens on Snowflake
- LandingEdge Requirements
- LandingEdge Workflow
- Download and Install LandingEdge
- Manage Inspection Points
- Configurations
- PLC Workflow
- GenICam and GigE Vision Cameras
- GPUs and LandingEdge
- Custom Processing
- LandingEdge Settings
- Roles and Permissions
- Run Inference with Web APIs
- Upload Images to LandingLens without Running Inference
- LandingAI Docker
- Predictions on the Deploy Page and Continuous Learning
- API Keys
- JSON Prediction Responses
- Developer Tools
- Release Notes
- OCR
- VisionAgent
- Support
Model Inference with SQL
- 22 Jan 2025
- 1 Minute to read
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Contents
Model Inference with SQL
- Updated on 22 Jan 2025
- 1 Minute to read
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Article summary
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This article applies to these versions of LandingLens:
LandingLens | LandingLens on Snowflake |
✖ | ✓ |
Learn how to run LandingLens model inferences directly in Snowflake using SQL. Use the core.run_inferences()
function to perform both batch and single-image inference on your datasets. Then insert the inferences as structured data into a new Snowflake table.
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