diff --git a/xml_to_csv.py b/xml_to_csv.py
index 03692c4cfa0..a4c24e34d83 100644
--- a/xml_to_csv.py
+++ b/xml_to_csv.py
@@ -14,6 +14,11 @@
 import xml.etree.ElementTree as ET
 
 
+def confine(value, lower, upper):
+    return max(min(upper, value), lower)
+
+
+
 def xml_to_csv(path):
     """Iterates through all .xml files (generated by labelImg) in a given directory and combines them in a single Pandas datagrame.
 
@@ -32,16 +37,28 @@ def xml_to_csv(path):
         tree = ET.parse(xml_file)
         root = tree.getroot()
         for member in root.findall("object"):
-            classes_names.append(member[0].text)
+            classname = member.find("name").text
+            classes_names.append(classname)
+            
+            size = root.find("size")
+            width = int(size.find("width").text)
+            height = int(size.find("height").text)
+            
+            box = member.find("bndbox")
+            xmin = int(box.find("xmin").text)
+            xmax = int(box.find("xmax").text)
+            ymin = int(box.find("ymin").text)
+            ymax = int(box.find("ymax").text)
+            
             value = (
                 root.find("filename").text,
-                int(root.find("size")[0].text),
-                int(root.find("size")[1].text),
-                member[0].text,
-                int(member[4][0].text),
-                int(member[4][1].text),
-                int(member[4][2].text),
-                int(member[4][3].text),
+                width,
+                height,
+                classname,
+                confine(xmin, 0, width),
+                confine(ymin, 0, width),
+                confine(xmax, 0, height),
+                confine(ymax, 0, height)
             )
             xml_list.append(value)
     column_name = [