Update README.md

README.md

@@ -30,7 +30,7 @@ Dataset size: 79.742.558 Bytes = 637.940.464 Bits
 ## Dataset Utility
 The AlphaNum dataset caters to a variety of use cases including text recognition, document processing, and machine learning tasks. It is particularly instrumental in the development, fine-tuning, and enhancement of OCR models.
 
-## Null Category Image Generation  ![noisy Image](146.jpg)
+## Null Category Image Generation
 The 'null' category comprises images generated by injecting noise to mimic randomly distributed light pixels. The creation of these images is accomplished through the following Python script:
 
 ```python
@@ -64,6 +64,9 @@ def generate_noisy_images(num_images, image_size=(28, 28), output_dir='NoisyImag
 generate_noisy_images(5000)
 ```
 
+example: ![noisy Image](146.jpg)
+
+
 ## ASCII Table and Corresponding File Counts
 | ASCII Value | Character | Number of Files |
 |-------------|-----------|-----------------|