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demo-ui

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Tri-state demo UI for saved run artifacts

Software Engineering#calibration#inference#ui-development#demo-ui#tri-state#image-prediction#artifact-backed
Authorrilical
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables rapid prototyping and validation of a local demo UI for tri-state image predictions (AI, Real, Abstain), calibration visualization, and residual exploration using saved run artifacts. It is not intended for model training, dataset ingestion, or report generation.

Core Features & Use Cases

  • Route all predictions through shared inference code and display tri-state labels, confidence, and abstention state.
  • Leverage saved run artifacts to compare calibration and selective-risk behavior across UI variations.
  • Use during UI development, testing, and demonstrations without touching training pipelines or data ingestion.

Quick Start

Launch the demo UI locally and load saved run artifacts to visualize tri-state predictions.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: demo-ui
Download link: https://github.com/rilical/OpenWorld-AI-Image-Detection/archive/main.zip#demo-ui

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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