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AI VS REAL IMAGE DETECTION
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AI VS REAL IMAGE DETECTION

Developed by Hemg
An image classification model fine-tuned based on Google Vision Transformer (ViT) architecture, used to distinguish AI-generated images from real images
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#ViT architecture#Transfer learning
Downloads 259
Release Time : 3/17/2024

Model Overview

This model is a fine-tuned version of Google's ViT architecture for image classification tasks, specifically designed to detect and differentiate AI-generated images from real photographs.

Model Features

High accuracy
Achieves 95.84% classification accuracy on the evaluation set
Based on ViT architecture
Uses Vision Transformer architecture, effectively capturing global features in images
Transfer learning
Fine-tuned from a pre-trained ViT model, leveraging large-scale pre-trained knowledge

Model Capabilities

AI-generated image detection
Real image verification
Image classification

Use Cases

Content moderation
Social media content moderation
Automatically detect AI-generated images on social media
Helps platforms identify potential fake or synthetic content
Digital forensics
News image verification
Verify whether news images are real photographs
Helps combat fake news and misleading content
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