metadata

title: Image Evaluator
emoji: 👁
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false

Image Evaluator

Tool for evaluating and comparing images generated by different AI models.

About

This Hugging Face Space provides a web interface for evaluating and comparing images generated by different AI models. It's particularly useful for developers, testers, and researchers working with image generation models, including those focused on artistic and anime styles.

Features

Upload and organize images by model
Evaluate images using multiple metrics:
- Technical quality (sharpness, noise, artifacts)
- Aesthetic quality (color harmony, composition)
- Anime-specific metrics (line quality, style consistency)
Compare different models with tables and visualizations
Export results in various formats (CSV, JSON, HTML)

How to Use

Upload Images: Go to the "Upload & Evaluate" tab, upload images for a specific model, and evaluate them
Compare Models: Go to the "Compare Models" tab to see which model performs best
Export Results: Save your evaluation results for further analysis

Metrics

The tool evaluates images using three categories of metrics:

Technical Metrics

Sharpness: Measures image clarity and detail
Noise: Measures absence of unwanted variations
Artifacts: Measures absence of compression artifacts
Saturation: Measures color intensity
Contrast: Measures difference between light and dark areas

Aesthetic Metrics

Color Harmony: Measures how well colors work together
Composition: Measures adherence to compositional principles
Visual Interest: Measures how visually engaging the image is

Anime-Specific Metrics

Line Quality: Measures clarity and quality of line work
Color Palette: Evaluates color choices for anime style
Character Quality: Assesses character design and rendering
Style Consistency: Measures adherence to anime style conventions