Update README.md

README.md

@@ -17,31 +17,6 @@ This dataset specifically focuses on **3D anime-style** content, addressing the
 
 The dataset organization follows a structured approach with separate directories for clear and blurry images, each containing thousands of carefully curated samples. With a total size of approximately 5GB, this dataset provides substantial training data for developing robust image quality assessment models. The **automatic annotation** process ensures consistent labeling while maintaining the dataset's scalability and reproducibility for research and development purposes.
 
-## Usage
-
-This dataset can be used with the `dghs-imgutils` library for efficient loading and processing:
-
-```python
-from dghs_imgutils import load_dataset_from_tar
-
-# Load the dataset from tar archive
-dataset = load_dataset_from_tar('3d_blurry.tar')
-
-# The dataset contains clear and blurry image pairs
-# Clear images are in 'clear/' directory
-# Blurry images are in 'blurry/' directory
-
-# Example usage for binary classification
-for image_path, metadata in dataset.items():
-    if image_path.startswith('clear/'):
-        label = 0  # Clear image
-    elif image_path.startswith('blurry/'):
-        label = 1  # Blurry image
-    
-    # Process image and label for training
-    # ...
-```
-
 ## Dataset Structure
 
 The dataset is organized in a tar archive with the following structure: