Vision Sandbox

To extract exact coordinates of UI elements from an image, you can use visual grounding with a code execution sandbox. This approach analyzes images via code to verify visual data and derive precise spatial metadata.

Visual grounding for UI auditing is the process of obtaining exact coordinates of interface elements within an image. It works by executing code in a sandbox to perform pixel-level analysis and verify spatial data.

You can perform pixel-level visual reasoning on an image using Gemini by running vision tasks inside its code execution sandbox. This allows the model to write and execute code to analyze visual data and derive precise measurements.

Yes, you need a GEMINI_API_KEY to run image analysis tasks in the code sandbox. You also need the uv dependency manager and the google-genai library to interact with the model and execute the vision tasks.

Yes, you can detect UI alignment and accessibility issues from a screenshot by running it through a vision code sandbox. The sandbox executes code to perform UI auditing, verifying visual data to find overlaps and alignment problems.

The best way to verify visual data and derive exact UI metadata is using a code execution sandbox with a vision model. This approach performs pixel-level analysis to obtain precise coordinates, unlike standard image classification tools.