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.

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)