Google Gemini Agentic Vision Tutorial - How To Use Google Gemini Agentic Vision

Google Gemini 3 flash Agentic Vision introduces a new frontier in AI vision capabilities, allowing for complex image analysis, data decomposition, and advanced reasoning through code execution.

• Gemini 3 flash Agentic Vision offers advanced capabilities for complex image analysis and data decomposition.

• Access requires enabling 'code execution' and selecting the 'Gemini 3 flash preview' model.

• It provides highly accurate image annotation, data plotting, and advanced reasoning for detailed visual information.

Google has launched Gemini 3 flash Agentic Vision, marking a significant advancement in AI vision models, particularly in areas where traditional AI has struggled. This new capability allows Gemini to process, analyze, and manipulate image data with high accuracy, performing tasks like object extraction, data plotting, annotation, and advanced reasoning. Users can access this feature through the Gemini Chat with Agentic Vision website by enabling the 'code execution' feature and selecting the Gemini 3 flash preview model.

Accessing Agentic Vision

• 00:00:20 To utilize Google Gemini's Agentic Vision, access the 'Gemini Chat with Agentic Vision' website. Users must enable the 'code execution' feature under 'tools' and select the 'Gemini 3 flash preview' model on the right-hand side, as this specific model incorporates agentic vision capabilities, unlike other available models.

Advanced Image Decomposition

• 00:01:17 Gemini's Agentic Vision excels at advanced image decomposition, demonstrated by its ability to extract multiple animals from an image, convert them into icons, and plot their lifespans on a Matplotlib chart. This process involves analyzing, dicing, and cutting out individual elements from an image, then integrating this data into structured formats, a complex task that few other AIs can perform with similar speed and accuracy.

Image Annotation & Plotting

• 00:02:33 The agentic vision feature allows for dynamic image annotation, such as identifying objects and pointing to their corresponding bins, a function beyond typical static AI analysis. It can also generate precise bar charts from complex data, normalize figures, and plot them using Matplotlib with high accuracy, making it a valuable tool for detailed data visualization from images.

Reasoning and Analysis

• 00:04:07 Agentic Vision facilitates advanced reasoning, enabling the AI to identify potential issues within an image, such as detecting incorrect measurements from two rulers. This capability is useful for tasks requiring specific information from complex visuals, like analyzing financial charts to mark swing highs and lows, or inspecting electronic chips to zoom, rotate, crop, and identify specific numbers, offering highly accurate analysis for various applications.