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Image Detection Guide

Comprehensive guide to detecting AI-generated images using Veridex.

Overview

Veridex provides multiple signals for detecting AI-generated images, from quick spectral analysis to sophisticated diffusion artifact detection.

Available Detectors

from veridex.image import FrequencySignal

detector = FrequencySignal()
result = detector.run("image.png")

print(f"AI Probability: {result.score:.2%}")

Best for: Fast initial screening, batch processing

2. DIRESignal (Highest Accuracy)

from veridex.image import DIRESignal

detector = DIRESignal()
result = detector.run("image.png")

print(f"AI Probability: {result.score:.2%}")

Best for: Production-grade detection, requires GPU

3. ELASignal (Manipulation Detection)

from veridex.image import ELASignal

detector = ELASignal()
result = detector.run("image.png")

print(f"AI Probability: {result.score:.2%}")

Best for: Detecting image manipulation and editing

Best Practices

  1. Preprocess images consistently
  2. Use multiple detectors for important decisions
  3. Consider GPU for DIRESignal
  4. Check image format and size

Next Steps