Swin Tiny Patch4 Window7 224 Finetuned Ai Not
Fine-tuned model based on Swin Transformer architecture for AI-generated content detection tasks
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Release Time : 2/15/2023
Model Overview
This model is a fine-tuned version based on the Swin Transformer architecture, primarily used for detecting AI-generated content, demonstrating high accuracy and F1 scores on evaluation datasets.
Model Features
High-accuracy detection
Achieves 97.96% accuracy and 97.94% F1 score on evaluation datasets
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture with excellent feature extraction capabilities
Lightweight model
Uses the tiny version to reduce computational resource requirements while maintaining performance
Model Capabilities
AI-generated content detection
Image classification
Feature extraction
Use Cases
Content moderation
AI-generated image detection
Identify whether images are generated by AI
97.96% accuracy
Security verification
Digital content authenticity verification
Verify the authenticity of digital content to prevent AI-generated content from impersonating real content
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