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# Image Authenticity Verification
Deepfake Detection Using ViT
Apache-2.0
A binary classification model using fine-tuned Vision Transformer (ViT) to detect deepfake images
Image Classification
Safetensors
SafetensorsD
ashish-001
354
1
Code
MIT
A Vision Transformer model for detecting deepfake images, achieving high-precision forgery detection through contrastive learning and global-local similarity analysis.
Image Classification
Transformers
TransformersC
aimagelab
515
2
NYUAD AI Generated Images Detector
Apache-2.0
This model is a classifier for detecting AI-generated images, achieving 97.36% accuracy on the evaluation set.
Image Classification Transformers
TransformersN
NYUAD-ComNets
4,688
5
Ai Vs Real Image Detection
Apache-2.0
An image classification model based on Vision Transformer architecture, specifically designed to detect AI-generated fake images
Image Classification Transformers
TransformersA
dima806
931
13
Deepfake Vs Real Image Detection
Apache-2.0
An image classification model based on Vision Transformer architecture, used to detect real images versus AI-generated fake images.
Image Classification Transformers
TransformersD
dima806
129.66k
27
Aiornot
Apache-2.0
A model based on the swin-tiny-patch4-window7-224 architecture, designed to distinguish between real images and AI-generated images.
Image Classification Transformers English
Transformers EnglishA
Nahrawy
5,479
10
My Awesome Classification Model
This model is designed to distinguish between original images and AI-generated images, suitable for content authenticity verification and digital media analysis.
Image Classification Transformers
TransformersM
SirBadr
16
0
Autotrained Spoof Detector
This is a binary classification model trained via AutoTrain to distinguish between real or fake images.
Image Classification Transformers
TransformersA
venuv62
27
1
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