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diff --git a/databases/cnn-alphabet_number.bin b/databases/cnn-alphabet_number.bin
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diff --git a/databases/cnn-alphabet_uppercase.bin b/databases/cnn-alphabet_uppercase.bin
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diff --git a/learning/make_emnist_images.py b/learning/make_emnist_images.py
new file mode 100644
index 0000000..89568ef
--- /dev/null
+++ b/learning/make_emnist_images.py
@@ -0,0 +1,69 @@
+import cv2
+import numpy as np
+import os
+import tensorflow_datasets as tfds
+
+# EMNIST labels
+letter_table = {0: '_', 1: 'a', 2: 'b', 3: 'c', 4: 'd', 5: 'e', 6: 'f', 7: 'g', 8: 'h', 9: 'i',
+    10: 'j', 11: 'k', 12: 'l', 13: 'm', 14: 'n', 15: 'o', 16: 'p', 17: 'q', 18: 'r', 19: 's',
+    20: 't', 21: 'u', 22: 'v', 23: 'w', 24: 'x', 25: 'y', 26: 'z', 27: '_'}
+
+balanced_table = {0: '0', 1: '1' , 2: '2', 3: '3', 4: '4', 5: '5', 6: '6', 7: '7', 8: '8', 9: '9',
+    10: 'A', 11: 'B', 12: 'C', 13: 'D', 14: 'E', 15: 'F', 16: 'G', 17: 'H', 18: 'I', 19: 'J',
+    20: 'K', 21: 'L', 22: 'M', 23: 'N', 24: 'O', 25: 'P', 26: 'Q', 27: 'R', 28: 'S', 29: 'T',
+    30: 'U', 31: 'V', 32: 'W', 33: 'X', 34: 'Y', 35: 'Z', 36: 'a', 37: 'b', 38: 'd', 39: 'e',
+    40: 'f', 41: 'g', 42: 'h', 43: 'n', 44: 'q', 45: 'r', 46: 't', 47: '_'}
+
+digits_table = {0: '0', 1: '1' , 2: '2', 3: '3', 4: '4', 5: '5', 6: '6', 7: '7', 8: '8', 9: '9'}
+
+# Pattern for creating images
+emnist_images = [
+    {'name': 'emnist_number', 'load': 'emnist/digits', 'split': 'train', 'letter': 'none', 'size': 60000},
+    {'name': 'emnist_number', 'load': 'emnist/digits', 'split': 'test', 'letter': 'none', 'size': 3000},
+    {'name': 'emnist_alphabet_number', 'load': 'emnist/balanced', 'split': 'train', 'letter': 'none', 'size': 60000},
+    {'name': 'emnist_alphabet_number', 'load': 'emnist/balanced', 'split': 'test', 'letter': 'none', 'size': 3000},
+    {'name': 'emnist_alphabet_lowercase', 'load': 'emnist/letters', 'split': 'train', 'letter': 'lower', 'size': 60000},
+    {'name': 'emnist_alphabet_lowercase', 'load': 'emnist/letters', 'split': 'test', 'letter': 'lower', 'size': 3000},
+    {'name': 'emnist_alphabet_uppercase', 'load': 'emnist/letters', 'split': 'train', 'letter': 'upper', 'size': 60000},
+    {'name': 'emnist_alphabet_uppercase', 'load': 'emnist/letters', 'split': 'test', 'letter': 'upper', 'size': 3000},
+]
+
+for emnist in emnist_images:
+    # Make directory
+    emnist_dir = '../images/{}_{}'.format(emnist['name'], emnist['split'])
+    os.makedirs(emnist_dir, exist_ok=True)
+
+    # Load EMNIST dataset
+    image, label = tfds.as_numpy(tfds.load(
+        emnist['load'],
+        split=emnist['split'], 
+        batch_size=-1, 
+        as_supervised=True,
+    ))
+
+    # Resize dataset
+    if emnist['size'] > 0:
+        image = image[:emnist['size']]
+
+    # Create iamges
+    for i, img in enumerate(image):
+        img = np.rot90(img, 1)
+        img = np.flipud(img)
+        img = 255 - img
+
+        letter = "_"
+        if emnist['load'] == 'emnist/balanced':
+            letter = balanced_table[label[i]]
+        elif emnist['load'] == 'emnist/letters':
+            letter = letter_table[label[i]]
+        elif emnist['load'] == 'emnist/digits':
+            letter = digits_table[label[i]]
+
+        if emnist['letter'] == 'upper':
+            letter = letter.upper()
+        elif emnist['letter'] == 'lower':
+            letter = letter.lower()
+
+        filename = '{}/{}_{:0>8}.png'.format(emnist_dir, letter, i)
+        print(filename)
+        cv2.imwrite(filename, img)