diff --git a/cocosplit.py b/cocosplit.py
index aeb6282..92aa76c 100644
--- a/cocosplit.py
+++ b/cocosplit.py
@@ -4,7 +4,9 @@
 from sklearn.model_selection import train_test_split
 from skmultilearn.model_selection import iterative_train_test_split
 import numpy as np
+from tqdm import tqdm
 
+np.random.seed(42)
 
 def save_coco(file, info, licenses, images, annotations, categories):
     with open(file, 'wt', encoding='UTF-8') as coco:
@@ -13,14 +15,14 @@ def save_coco(file, info, licenses, images, annotations, categories):
 
 def filter_annotations(annotations, images):
     image_ids = funcy.lmap(lambda i: int(i['id']), images)
-    return funcy.lfilter(lambda a: int(a['image_id']) in image_ids, annotations)
-
+    filtered_annotations = funcy.lfilter(lambda a: int(a['image_id']) in image_ids, tqdm(annotations, desc='Filtering Annotations'))
+    return filtered_annotations
 
 def filter_images(images, annotations):
-
     annotation_ids = funcy.lmap(lambda i: int(i['image_id']), annotations)
+    filtered_images = funcy.lfilter(lambda a: int(a['id']) in annotation_ids, tqdm(images, desc='Filtering Images'))
+    return filtered_images
 
-    return funcy.lfilter(lambda a: int(a['id']) in annotation_ids, images)
 
 
 parser = argparse.ArgumentParser(description='Splits COCO annotations file into training and test sets.')
@@ -67,7 +69,7 @@ def main(args):
             annotations =  funcy.lremove(lambda i: i['category_id'] not in annotation_categories  , annotations)
 
 
-            X_train, y_train, X_test, y_test = iterative_train_test_split(np.array([annotations]).T,np.array([ annotation_categories]).T, test_size = 1-args.split)
+            X_train, y_train, X_test, y_test = iterative_train_test_split(np.array([annotations]).T,np.array([ annotation_categories]).T, test_size = 1-args.split, random_state=42)
 
             save_coco(args.train, info, licenses, filter_images(images, X_train.reshape(-1)), X_train.reshape(-1).tolist(), categories)
             save_coco(args.test, info, licenses,  filter_images(images, X_test.reshape(-1)), X_test.reshape(-1).tolist(), categories)
@@ -76,7 +78,7 @@ def main(args):
             
         else:
 
-            X_train, X_test = train_test_split(images, train_size=args.split)
+            X_train, X_test = train_test_split(images, train_size=args.split, random_state=42)
 
             anns_train = filter_annotations(annotations, X_train)
             anns_test=filter_annotations(annotations, X_test)
diff --git a/requirements.txt b/requirements.txt
index 47d6288..40b21b4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,3 +2,4 @@ sklearn
 funcy
 argparse
 scikit-multilearn
+tqdm
\ No newline at end of file