High_Res-vs-Low_Res

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.

Label Mappings

• Mapping of IDs to Labels:
  {0: 'High Quality', 1: 'Low Quality'}

• Mapping of Labels to IDs:
  {'High Quality': 0, 'Low Quality': 1}