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  ## U²-Net
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- <p>This is an implementation of U²-Net for image background removing purposes based on <a href="https://arxiv.org/pdf/2005.09007" target="_blank">this article</a>. The U²-Net architecture is designed to capture both fine details and global context, making it highly effective for image segmentation tasks such as background removal.
 
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  ## Dataset
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  Dichotomous Image Segmentation (DIS) is a dataset wich contains around 5k images (images + masks) and it's used in image segmenation model training.<br>
 
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  ## U²-Net
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+ <p>Input Shape:(512, 512, 3)</p>
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+ <p>This is an implementation of U²-Net for image background removing purposes based on <a href="https://arxiv.org/pdf/2005.09007" target="_blank">this article</a>. The U²-Net architecture is designed to capture both fine details and global context, making it highly effective for image segmentation tasks such as background removal.</p>
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  ## Dataset
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  Dichotomous Image Segmentation (DIS) is a dataset wich contains around 5k images (images + masks) and it's used in image segmenation model training.<br>