This is a simplified guide to an AI model called Omniparser-V2 maintained by Microsoft. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
omniparser-v2 extends OmniParser, Microsoft's screen parsing tool that converts graphical user interfaces into structured data. Built by Microsoft, this version offers improved performance and expanded capabilities for AI-powered interface interaction.
Model inputs and outputs
The model takes screenshots as input and produces structured representations of interface elements, identifying clickable regions and describing their functionality. The system processes images through a combination of object detection and visual understanding models.
Inputs
- Image - The screenshot or interface image to analyze
- Box threshold - Confidence threshold for detecting UI elements (0.01-1.0)
- IOU threshold - Overlap threshold for merging detected elements (0.01-1.0)
- Image size - Resolution for icon detection (640-1920 pixels)
Outputs
- Elements - Structured text describing the detected UI components
- Image - Visualization of the detected elements
Capabilities
The system excels at identifying intera...
Top comments (0)