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Ai Image Detector

Developed by yaya36095
This model is used to detect whether an image is real or AI-generated, employing the Vision Transformer (ViT) architecture for precise classification.
Downloads 626
Release Time : 11/25/2024

Model Overview

An image classification model based on the Vision Transformer architecture, specifically designed to distinguish between real photographs and AI-generated images.

Model Features

High-precision classification
Utilizes the ViT architecture to accurately distinguish between real and AI-generated images.
Easy integration
Provides clear Python usage examples and web integration examples.
Detailed result output
Not only provides classification results but also outputs confidence levels and detailed scores.

Model Capabilities

Image classification
AI-generated content detection
Image authenticity verification

Use Cases

Content moderation
Social media content moderation
Detects whether user-uploaded images are AI-generated.
Helps platforms identify potential fake or synthetic content.
Digital forensics
News authenticity verification
Verifies whether news images are real photographs.
Assists in identifying potential fake news images.
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