Readme.md

metadata

title: Real vs Fake - AI Image Detector
emoji: 🔍
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
license: mit
short_description: AI-powered detector for identifying AI-generated images

🔍 Real vs Fake: AI Image Detector

Detect whether an image is real or AI-generated using perceptual features.

How It Works

This detector uses ARNIQA (Attention-based distortion-aware No-Reference Image Quality Assessment) to extract perceptual features from images. These features are then used by a trained classifier to distinguish between real photographs and AI-generated images.

Supported AI Models

The detector can identify images generated by:

• Stable Diffusion (various versions)
• Midjourney
• DALL-E
• And other popular generative models

Usage

1. Upload an image (JPG, PNG)
2. The model will analyze perceptual features
3. Get instant results showing whether the image is real or AI-generated

Model Details

• Feature Extractor: ARNIQA (from miccunifi/ARNIQA)
• Classifier: 2-layer MLP trained on GenImage dataset
• Input Size: Variable (automatically resized)
• Inference: CPU-based for universal accessibility

Privacy

All processing happens in your browser session. Uploaded images are not stored.

Research

Based on research using perceptual classifiers for detecting generative images. The full research codebase is private.

License

MIT License - Free for personal and commercial use.