---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- high-res
- low-res
size_categories:
- 1K<n<10K
---

# **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}`