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  - low-res
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  size_categories:
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  - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - low-res
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  size_categories:
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  - 1K<n<10K
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+ ---
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+ # **High_Res-vs-Low_Res**
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+ **High_Res-vs-Low_Res** is a dataset designed for image classification, distinguishing between high-quality and low-quality images. This dataset includes a diverse collection of 5,016 high-resolution and low-resolution images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of robust image quality assessment models.
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+ ### **Label Mappings**
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+
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+ - **Mapping of IDs to Labels:**
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+ `{0: 'High Quality', 1: 'Low Quality'}`
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+ - **Mapping of Labels to IDs:**
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+ `{'High Quality': 0, 'Low Quality': 1}`