Deepfakes
An image classification model generated by HuggingPics, used to distinguish between deepfake images and real images
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Release Time : 2/17/2023
Model Overview
This model is an image classifier specifically designed to detect and classify deepfake images versus real images. Through training, the model can identify forgery features in images with an accuracy rate of 81.58%.
Model Features
High accuracy
Achieves 81.58% accuracy on the test set, effectively distinguishing between deepfake images and real images
Ease of use
Automatically generated via the HuggingPics platform, making it easy to deploy and use
Fast recognition
Capable of quickly classifying input images
Model Capabilities
Image classification
Deepfake detection
Real/fake image recognition
Use Cases
Content moderation
Social media content moderation
Automatically detects deepfake images on social media
Reduces the spread of misinformation
Security verification
Identity verification systems
Verifies whether uploaded images are real photos rather than forgeries
Enhances system security
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