# Dataset Card for "letter_recognition"

Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at [A-Z Handwritten Alphabets in .csv format](https://www.kaggle.com/datasets/sachinpatel21/az-handwritten-alphabets-in-csv-format).


```python
import os
import pandas as pd
import matplotlib.pyplot as plt

CHARACTER_COUNT = 26

data = pd.read_csv('./A_Z Handwritten Data.csv')
mapping = {str(i): chr(i+65) for i in range(26)}

def generate_dataset(folder, end, start=0):
    if not os.path.exists(folder):
        os.makedirs(folder)
        print(f"The folder '{folder}' has been created successfully!")
    else:
        print(f"The folder '{folder}' already exists.")

    for i in range(CHARACTER_COUNT):
        dd = data[data['0']==i]
        for j in range(start, end):
            ddd = dd.iloc[j]
            x = ddd[1:].values
            x = x.reshape((28, 28))
            plt.axis('off')
            plt.imsave(f'{folder}/{mapping[str(i)]}_{j}.jpg', x, cmap='binary')
            
generate_dataset('./train', 1000)
generate_dataset('./test', 1100, 1000)
```
task_categories:image-classification size_categories:1K<n<10K language:en region:us
{"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D", "4": "E", "5": "F", "6": "G", "7": "H", "8": "I", "9": "J", "10": "K", "11": "L", "12": "M", "13": "N", "14": "O", "15": "P", "16": "Q", "17": "R", "18": "S", "19": "T", "20": "U", "21": "V", "22": "W", "23": "X", "24": "Y", "25": "Z"}}}}], "splits": [{"name": "train", "num_bytes": 22453522, "num_examples": 26000}, {"name": "test", "num_bytes": 2244964.8, "num_examples": 2600}], "download_size": 8149945, "dataset_size": 24698486.8}}
TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-English #region-us 

# Dataset Card for "letter_recognition"

Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at A-Z Handwritten Alphabets in .csv format.



# Dataset Card for "letter_recognition"

Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at A-Z Handwritten Alphabets in .csv format.
TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-English #region-us 
 # Dataset Card for "letter_recognition"

Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at A-Z Handwritten Alphabets in .csv format.
passage: TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-English #region-us 
# Dataset Card for "letter_recognition"

Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at A-Z Handwritten Alphabets in .csv format.