diff --git a/README.md b/README.md
index e516451..09a659d 100644
--- a/README.md
+++ b/README.md
@@ -39,10 +39,13 @@ USAGE
 
 -> Download the required annotation files- you may do so from the official COCO dataset (link given above)
 
--> Change the code accordingly  based on whether the annotation is from train/val (or something else. If something else, the coco annotation format MUST be maintained, .json file and all)
+-> Change the code accordingly based on whether the annotation is from train/val (or something else. If something else, the coco annotation format MUST be maintained, .json file and all)
 
 -> Run coco_get_annotations_xml_format.py
 
 -> Get your .xml files, and do what you need to do with them.
 
+-> If some .xml files is missing (for any reason),  
+you can create "empty" (xml data without object boxes), run verify.py
+
 ![labelimg](https://user-images.githubusercontent.com/58288779/78465309-95911f80-7726-11ea-9a6b-71155412b21e.png)
diff --git a/verify.py b/verify.py
new file mode 100644
index 0000000..6681f1b
--- /dev/null
+++ b/verify.py
@@ -0,0 +1,65 @@
+import os 
+import cv2
+import json
+import pandas as pd
+import xml.etree.ElementTree as ET
+from os import path
+from coco_get_annotations_xml_format import write_to_xml
+
+
+def write_empty_to_xml(data_folder, image_name, save_folder,xml_template='pascal_voc_template.xml'):
+    # read xml file
+    tree = ET.parse(xml_template)
+    root = tree.getroot()    
+    
+    # modify
+    folder = root.find('folder')
+    folder.text = 'Annotations'
+    
+    fname = root.find('filename')
+    fname.text = image_name.split('.')[0] 
+    
+    src = root.find('source')
+    database = src.find('database')
+    database.text = 'COCO2017'
+    
+    
+    # size
+    img = cv2.imread(os.path.join(data_folder, image_name))
+    h,w,d = img.shape
+    
+    size = root.find('size')
+    width = size.find('width')
+    width.text = str(w)
+    height = size.find('height')
+    height.text = str(h)
+    depth = size.find('depth')
+    depth.text = str(d)
+
+    # save .xml to anno_path
+    anno_path = os.path.join(save_folder, image_name.split('.')[0] + '.xml')
+    print(anno_path)
+    tree.write(anno_path)
+
+if __name__=='__main__':
+    photo_path = './val2017'
+    xml_path = './saved'
+
+    #checking for missing xml files
+    missing=[]
+    for image_path in os.listdir(photo_path):
+        image_file_name = image_path.split('.')[0]
+        xml_file_name = image_file_name+'.xml'
+        xml_file_path = xml_path+'/'+xml_file_name
+        exist = path.exists(xml_file_path)
+        if exist==False:
+            missing.append(image_path)
+
+    #creating new directory for the missing files
+    savepath = 'savedMissing'
+    if not os.path.exists(savepath):
+        os.makedirs(savepath)
+
+    #generating "empty" xml for the missing files
+    for image in missing:
+        write_empty_to_xml(photo_path,image,savepath)
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