verifai-models – AI Model by canemirbora | AlphaNeural AI

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canemirbora/
verifai-models

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image-classification

deepfake-detection

Rajarshi-Roy-research/Defactify_Image_Dataset

NasrinImp/COCO_AI

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VerifAI Model Weights

Pre-trained model weights for VerifAI - AI-Generated Media Detector.

AI-Generated Media Detector — Detect AI-generated images and videos with calibrated confidence scores, localized evidence, and robustness evaluation.

Files

File	Size	Description
`modern_ai_detector.pt`	2.0 MB	CLIP ViT-L/14 classification head
`frequency_classifier.joblib`	774 KB	Gradient Boosting frequency classifier

Performance

Dataset	Real Acc	Fake Acc	Overall
Defactify (SD3, SDXL, DALL-E 3, MidJourney)	97.0%	100.0%	98.5%
COCO_AI (SD, FLUX, Ideogram)	92.5%	98.5%	95.5%
Average	94.8%	99.2%	97.0%

Usage

python

from verifai import VerifAI

# Weights are downloaded automatically
detector = VerifAI()
result = detector.detect("image.jpg")

print(f"Label: {result.label}")
print(f"Confidence: {result.confidence:.1%}")

Architecture

Fusion Detector = CLIP (80%) + Frequency (20%)

CLIP Head: 768 → 512 → 256 → 2 with LayerNorm, GELU, Dropout
Frequency Classifier: GradientBoostingClassifier on FFT/DCT features

Training

Trained on:

License

MIT License