Veritas - AI Image Detector
High-accuracy AI-generated image detection
Veritas - AI Image Detector
A state-of-the-art deep learning model designed to detect AI-generated images with high accuracy. This model can distinguish between human-created and AI-generated content across various image types and styles.
Usage
Simply upload an image to analyze whether it was generated by artificial intelligence or created by humans. The model returns a confidence score and classification:
{
"prediction": "ai_generated",
"artificial": 0.94,
"real": 0.06
}
Examples
Here are some examples of the model's output for different types of images.
AI-Generated Image
Prediction: ai_generated
real: 0.02%
artificial: 99.98%
Real Photograph
Prediction: real
real: 96.45%
artificial: 3.55%
Training Data
This model was trained on a vast dataset comprising over 2.5 million images from multiple sources:
AI-Generated Sources:
- Midjourney (v4, v5, v6)
- DALL-E 2 and DALL-E 3
- Stable Diffusion (1.5, 2.0, SDXL)
- Adobe Firefly
- Imagen and Parti
- StyleGAN variants
- Various open-source diffusion models
Human-Created Sources:
- Professional photography datasets
- Digital art and illustrations
- Historical image archives
- Social media content (verified human sources)
Model Architecture
Built on a modified EfficientNet-B7 backbone with custom attention mechanisms specifically designed to detect subtle AI generation artifacts. The model achieved 96.3% accuracy on our held-out test set and demonstrates robust performance across different AI generation techniques.
Key Features
- High Accuracy: 96.3% detection rate on diverse test sets
- Fast Inference: Processes images in under 2 seconds
- Robust Detection: Works across multiple AI generation models
- Confidence Scoring: Provides probability scores for both classifications
- Batch Processing: Can analyze multiple images efficiently
Limitations
While highly accurate, this model may have reduced performance on:
- Very heavily post-processed human photos
- AI-generated images that have been significantly edited
- Novel AI generation techniques not present in training data
- Images with extreme compression or artifacts
Use Cases
- Content moderation and verification
- Academic research on AI generation
- News media verification
- Social media platform integrity
- Digital forensics
API (disabled for now)
Use this model via the API:
curl -X POST \
-H "Authorization: Token YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"version": "8b73c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608",
"input": {
"image": "https://example.com/image.jpg"
}
}' \
https://api.yourkln.com/v1/predictions
Response Format
{
"id": "abc123...",
"version": "8b73c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608",
"urls": {
"get": "https://api.yourkln.com/v1/predictions/abc123...",
"cancel": "https://api.yourkln.com/v1/predictions/abc123.../cancel"
},
"created_at": "2025-01-15T10:30:00.000Z",
"started_at": "2025-01-15T10:30:01.000Z",
"completed_at": "2025-01-15T10:30:02.500Z",
"status": "succeeded",
"input": {
"image": "https://example.com/image.jpg"
},
"output": {
"prediction": "ai_generated",
"artificial": 0.94,
"real": 0.06"
}
}
Versions
This model has multiple versions available. The latest version is:
8b73c42e9efd4288bb9910bc532a69727f9acd26aa08e175713a0a857a608
Version History
- v1.2 (current): Improved detection for DALL-E 3 and Midjourney v6
- v1.1: Added support for StyleGAN detection
- v1.0: Initial release with baseline detection capabilities