Update README.md

Author: kemtay

README.md

@@ -21,27 +21,31 @@ The below Python modules are required:
 3. bird_classifications.py - contains the main functions (display_bird() and classify_bird()) for producing outputs
 4. folders 
 - static: consists of favicon image file, img folder and css folder (this is a standard structure for a flask web application)
-- models: consists of the ONNX models
+- templates: consists of HTML templates to be rendered by Flask (this is a standard structure for a flask web application)
+- models: consists of the ONNX models and labels.txt (both downloaded from Microsoft CV services)
 - plots: placeholder for the output images
 
-## Dataset
-- The ONNX model was trained by Microsoft Azure Custom Vision services.
+## Model
+- The ONNX is a deep learning model trained by Microsoft Azure Custom Vision services for image classification.
 - The train/test dataset are a private image collection of birds seen in Singapore.
 
 ## The python program explained:
 After running the main python program with 'python azurecv_birdclassifier.py':
 - the web application will be running on 'http://127.0.0.1:50001/' (localhost)
 - open a web browser and place the url at the address bar
 - a web GUI will be displayed
+![mainpage-imgfile](/images/mainpage.png)
 - click on 'Choose File' button to select an image file from your local disk
 - click on 'submit' button when ready
 - the image and a bar chart with the Top-5 classification will be displayed
+![outputpage-imgfile](/images/outputpage.png)
 
 ## Results Summary
 - The result of the ONNX model is not satisfying mainly due to a relatively small and unbalanced dataset. 
 - The aim of this simple project is to demostrate the ONNX model deployment using Flask.
 
 ## Reference
 1. https://onnx.ai/ 
-2. Book: Flask Web Development, Developing Web Applications with Python (https://flaskbook.com/) 
-3. https://wtforms.readthedocs.io/en/stable/
+2. https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home
+3. Book: Flask Web Development, Developing Web Applications with Python (https://flaskbook.com/) 
+4. https://wtforms.readthedocs.io/en/stable/