Learning Timeline
Key Insights
Improved Response Quality
Using Agentic Vision improves AI response quality by 5% to 10% compared to standard computer vision models.
Python Code Automation
The AI doesn't just draw a picture; it actually writes and executes Python code to generate accurate graphs based on data extracted from the image.
Platform Availability
This agentic vision feature is already available to try for free via the Gemini API in Google AI Studio as well as Vertex AI.
Prompts
Generating Graphs from Images
Target:
Gemini Agentic Vision
Make a bar graph from this image.
Step by Step
How to Analyze Visual Data Using Gemini Agentic Vision
- Visit the Google AI Studio website or click the provided Gemini Agentic Vision demo link.
- Click on the image upload button (usually the '+' or 'Media' icon) to insert a screenshot or image containing data.
- Enter your instructions in the prompt area to ask the AI to convert the visual data into a graph (example: 'Make a bar graph from this image').
- Press 'Enter' or the 'Run' button to start the generation process.
- Click on the 'Thought Process' section to see the AI's reasoning logic and how it structures the analysis plan.
- Watch the AI automatically generate and execute Python code to build the graph.
- Review the final visualization (such as a bar graph) displayed according to the data categories detected in the image.
