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--- |
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license: apache-2.0 |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- high-res |
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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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- **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}` |
