Compare Local Vision Models and Document Results in Google Docs
Workflow Description
Automates image analysis using local computer vision models, processes files in batches from Google Drive, and automatically documents comparison results in a Google Docs file for review and analysis.
How it works
- 1.Retrieve batch of images from Google Drive
- 2.Process images in parallel using local vision models
- 3.Compare analysis results across different models
- 4.Document findings and metrics in Google Docs
Use cases
- Evaluate accuracy and performance of different vision models
- Generate organized reports of image analysis findings
- Automate testing and benchmarking of local AI models
Requirements
- Access to Google Drive and Google Docs
- Local vision models installed and callable via HTTP
- Ability to execute HTTP requests to invoke models
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (19)
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When clicking ‘Test workflow’
Manual Trigger
Ollama LLM Request
HTTP Request
Create Request Body
Set
Loop Over Ollama Models
Split In Batches
Create Result Objects
Set
General Image Prompt
Set
Real Estate Spreadsheet Prompt
Set
List of Vision Models
Set
Get Base64 String
Extract From File
Download Image File from Google Drive
Google Drive
Split List of Vision Models for Looping
Split Out
Sticky Note
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Google Doc Image Id
Set
Save Image Descriptions to Google Docs
Google Docs
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