DataScienceProject
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Vit

Image Classification

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benjaminStreltzin commited on Sep 22, 2024

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@@ -17,7 +17,7 @@ library_name: transformers
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 ### Model Card for Model ID
-This model is designed for classifying images as either 'real' or 'fake-Ai generated' using a Convolutional Neural Network (CNN) combined with Error Level Analysis (ELA).
 Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the Recall test.

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 ### Model Card for Model ID
+This model is designed for classifying images as either 'real' or 'fake-Ai generated' using a Vision Transformer (VIT) .
 Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the Recall test.