🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison
For Ollama, this workflow processes images using local Ollama Vision Models to extract detailed descriptions, contextual insights, and structured data. It automates the download of images from Google Drive, analyzes them with multiple vision models, and saves the results directly to Google Docs for easy sharing and collaboration. Ideal for developers and analysts, it solves the challenge of obtaining comprehensive insights from images, making it particularly useful for real estate, marketing, and research applications.
View Large Image
Workflow Overview
For Ollama, this workflow processes images using local Ollama Vision Models to extract detailed descriptions, contextual insights, and structured data. It automates the download of images from Google Drive, analyzes them with multiple vision models, and saves the results directly to Google Docs for easy sharing and collaboration. Ideal for developers and analysts, it solves the challenge of obtaining comprehensive insights from images, making it particularly useful for real estate, marketing, and research applications.
Target Audience
- Developers: Those looking to integrate image processing capabilities into their applications using locally hosted models.
- Data Analysts: Professionals who need to extract detailed insights from images for reporting and analysis.
- AI Enthusiasts: Individuals interested in exploring the capabilities of Ollama Vision Models for various use cases.
- Real Estate Professionals: Users who require detailed image descriptions and analyses for property listings and marketing materials.
Key Characteristics
- Users should be familiar with API integrations and have access to a local instance of Ollama.
- Ideal for those who need to automate image analysis and documentation processes efficiently.
Problem Solved
This workflow addresses the challenge of extracting meaningful insights from images in exhaustive detail. It enables users to:
- Identify and describe visible objects with descriptors such as size, color, and position.
- Analyze spatial relationships and contextual factors of the image.
- Extract and translate textual elements found within the image.
- Provide structured data outputs that are easy to document and share, particularly useful in fields such as real estate, marketing, and research.
Workflow Steps
- Download Image: The workflow begins by downloading an image file from Google Drive using its file ID.
- Prepare Vision Models: A list of available Ollama Vision Models is set up for processing the image.
- Generate Prompts: A detailed prompt is created for analyzing the image, specifying the structure for the analysis including:
- Comprehensive Inventory of objects
- Contextual Analysis of the setting
- Spatial Relationships between elements
- Textual Elements extraction.
- Process Image: The image is processed using the specified models, with requests sent to the Ollama API for analysis.
- Capture Results: The results from each model are collected and formatted into a structured output.
- Save to Google Docs: Finally, the analysis results are saved to a specified Google Docs document for easy access and collaboration.