diff --git a/breeding_date_set.py b/breeding_date_set.py
deleted file mode 100644
index 2f39933..0000000
--- a/breeding_date_set.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import math
-import datetime
-import cv2
-import albumentations as A
-import numpy as np
-import os
-def file_magnification(folder_path):
-    file_txt = []
-    file_jpg = []
-    for foldername, subfolders, filenames in os.walk(folder_path):
-        for filename in filenames:
-            f = filename.split('.')
-
-            if f[-1] == 'txt':
-                file_txt.append(filename)
-            elif f[-1] == 'jpg':
-                file_jpg.append(filename)
-
-    for k in range(len(file_jpg)):
-        image = cv2.imread(f'{folder_path}\\{file_jpg[k]}')
-        annotations = []
-        with open(f'{folder_path}\\{file_txt[k]}', 'r') as file:
-            lines = file.readlines()
-            for line in lines:
-                annotations.append(line)
-
-
-        main_fillet_yolo_conversion = []
-        fillet_yolo_bboxes = []
-        fillet_yolo_class = []
-        print(annotations)
-        for ii in range(len(annotations)):
-            a = annotations[ii].split(' ')
-            for i in range(len(a)):
-                try:
-                    main_fillet_yolo_conversion.append(int(a[i]))
-                except ValueError:
-                    main_fillet_yolo_conversion.append(float(a[i]))
-                print(main_fillet_yolo_conversion)
-            fillet_yolo_class.append(main_fillet_yolo_conversion[0])
-            del main_fillet_yolo_conversion[0]
-            fillet_yolo_bboxes.append(main_fillet_yolo_conversion)
-            main_fillet_yolo_conversion = []
-
-        for o in range(10):
-            bboxes = fillet_yolo_bboxes
-            category_ids = fillet_yolo_class
-
-            transform = A.Compose([
-                A.HorizontalFlip(p=0.5),
-                A.RandomBrightnessContrast(p=0.2),
-                A.ShiftScaleRotate(shift_limit=0.1, scale_limit=0.2, rotate_limit=15, p=0.5),
-            ], bbox_params=A.BboxParams(format='yolo', label_fields=['category_ids']))
-
-            transformed = transform(image=image, bboxes=bboxes, category_ids=category_ids)
-            transformed_image = transformed['image']
-            transformed_bboxes = transformed['bboxes']
-            transformed_category_ids = transformed['category_ids']
-
-            cv2.imwrite(f'{folder_path}\\{o}_{file_jpg[k]}', transformed_image)
-            with open(f'{folder_path}\\{o}_{file_txt[k]}', 'w') as f:
-                for bbox, category_id in zip(transformed_bboxes, transformed_category_ids):
-                    x_center, y_center, width, height = bbox
-                    cla = category_id
-                    f.write(f"{cla} {x_center} {y_center} {width} {height}\n")
-file_txt_1 = []
-file_jpg_1 = []
-file_start = 'Zombobase-'+str(datetime.date.today())
-folder_path = ('train')
-for foldername, subfolders, filenames in os.walk(folder_path):
-    for subfolder in subfolders:
-        folder_path = (f'train\\{subfolder}')
-        for foldername, subfolders, filenames in os.walk(folder_path):
-            for filename in filenames:
-
-                f = filename.split('.')
-
-                if f[-1] == 'txt':
-                    file_txt_1.append(filename)
-                elif f[-1] == 'jpg':
-                    file_jpg_1.append(filename)
-
-annotations = []
-os.makedirs(file_start)
-file = ['test', 'train']
-percent_fille = [0.20,0.10]
-for fi, p_f in zip(file, percent_fille):
-    os.makedirs(f'{file_start}\\{fi}')
-
-    for i in range(math.ceil(len(file_txt_1)* p_f)):
-        image = cv2.imread(f'D:\\train\\images\\{file_jpg_1[i]}')
-        with open(f'D:\\train\\labels\\{file_txt_1[i]}', 'r') as file:
-            lines = file.readlines()
-            for line in lines:
-                annotations.append(line)
-        cv2.imwrite(f'{file_start}\\{fi}\\{file_jpg_1[i]}', image)
-        with open(f'{file_start}\\{fi}\\{file_txt_1[i]}', 'w') as f:
-            for iii in range(len(annotations)):
-                f.write(annotations[iii])
-
-        annotations = []
-        del file_txt_1[i]
-        del file_jpg_1[i]
-
-os.makedirs(f'{file_start}\\validation')
-for a, j in zip(file_txt_1, file_jpg_1):
-    image = cv2.imread(f'D:\\train\\images\\{j}')
-    with open(f'D:\\train\\labels\\{a}', 'r') as file:
-        lines = file.readlines()
-        for line in lines:
-            annotations.append(line)
-    cv2.imwrite(f'{file_start}\\Validation\\{j}', image)
-    with open(f'{file_start}\\Validation\\{a}', 'w') as f:
-        for iii in range(len(annotations)):
-            f.write(annotations[iii])
-    annotations = []
-file = ['test', 'train','validation']
-for i in file:
-    file_magnification(f'{file_start}\\{i}')
\ No newline at end of file
diff --git a/images/Himars_vs_Tulpan_000091.jpg b/images/Himars_vs_Tulpan_000091.jpg
deleted file mode 100644
index afc1e60..0000000
Binary files a/images/Himars_vs_Tulpan_000091.jpg and /dev/null differ
diff --git a/labels/Himars_vs_Tulpan_000091.txt b/labels/Himars_vs_Tulpan_000091.txt
deleted file mode 100644
index 50d774d..0000000
--- a/labels/Himars_vs_Tulpan_000091.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-3 0.41877 0.64332 0.06107 0.07926
-7 0.40442 0.78827 0.06779 0.05212
-7 0.19860 0.90662 0.05314 0.05429
\ No newline at end of file