diff --git a/README.md b/README.md
index f2fc118..a177c65 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,14 @@
 # PASCAL_VOC_TO_NPZ
 
 Installation:
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+
 sudo apt-get install pyqt5-dev-tools
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 sudo pip3 install lxml
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 make qt5py3
 
 Using the tool:
@@ -10,20 +16,34 @@ Using the tool:
 Go to folder
 
 cd labelImg-master
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 python3 labelImg.py
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 python3 labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
 
 Using the PASCAL VOC To NPZ conversion tool.
-1.Convert any PASCAL VOC Annotated File to Numpy Zip Format to get Data Ready for Training  YOLOV2 Object Recognition
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+
+1.Convert any PASCAL VOC Annotated File to Numpy Zip Format to get Data Ready for Training  YOLOV2 Object Recognition.
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 Keep Your Image files inside the folder Image_files and Annotation .xml in the folder Annotations.
 
 2.Run the following commands:
 
 cd VOC_ANNO_NPZ
-python3 VOC_TO_NPZ.py '-i'/'--path_to_voc_image'  '-a'/'--path_to_voc_annotation' '-v'/'--path_to_voc'  '-o'/'--path_to_output_npz'
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+
+python3 VOC_TO_NPZ.py '-i'/'--path_to_voc_image'  '-a'/'--path_to_voc_annotation' '-v'/'--path_to_voc'  '-o'/'-path_to_output_npz'
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 python3 VOC_TO_NPZ.py 
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 The result npz file will be formed in the folder:
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 File Name: 
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 [Output_name].npz
 
 Output_name is name of the output file you will provide