initial readme (#2)

Author: guoyu-wang

README.md

@@ -1,14 +1,18 @@
-# Project
+# ONNX Runtime Inference Examples
 
-> This repo has been populated by an initial template to help get you started. Please
-> make sure to update the content to build a great experience for community-building.
+<div align="center">
+  <img src="https://www.onnxruntime.ai/images/ONNX-Runtime-logo.png" /><br /><br />
+</div>
 
-As the maintainer of this project, please make a few updates:
+This repo has examples for using [ONNX Runtime](https://github.com/microsoft/onnxruntime) (ORT) for inference.
 
-- Improving this README.MD file to provide a great experience
-- Updating SUPPORT.MD with content about this project's support experience
-- Understanding the security reporting process in SECURITY.MD
-- Remove this section from the README
+## Examples
+
+Outline the examples in the repository.
+
+| Example           | Description                                |
+|-------------------|--------------------------------------------|
+|[Android Image Classifier](mobile/examples/image_classifications/android)| An example application for ONNX Runtime on Android. The example app uses image classification which is able to continuously classify the objects it sees from the device's camera in real-time and displays the most probable inference result on the screen. |
 
 ## Contributing
 
@@ -26,8 +30,8 @@ contact [[email protected]](mailto:[email protected]) with any additio
 
 ## Trademarks
 
-This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 
-trademarks or logos is subject to and must follow 
+This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
+trademarks or logos is subject to and must follow
 [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
 Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
 Any use of third-party trademarks or logos are subject to those third-party's policies.

mobile/examples/image_classifications/android/README.md

@@ -1,7 +1,7 @@
 # ONNX Runtime Mobile image classification Android sample application
 
 ## Overview
-This is an example application for [ONNX Runtime](https://github.com/microsoft/onnxruntime) on Android. The demo app uses image classfication which is able to continuously classify the objects it sees from the device's camera in real-time and displays the most probable inference result on the screen.
+This is an example application for [ONNX Runtime](https://github.com/microsoft/onnxruntime) on Android. The demo app uses image classification which is able to continuously classify the objects it sees from the device's camera in real-time and displays the most probable inference result on the screen.
 
 This example is loosely based on [Google CodeLabs - Getting Started with CameraX](https://codelabs.developers.google.com/codelabs/camerax-getting-started)
 
@@ -22,7 +22,7 @@ We use classic MobileNetV2(float) model and MobileNetV2 (uint8) in this sample a
 
 The above three files are provided and can be downloaded [here](https://1drv.ms/u/s!Auaxv_56eyubgQX-S_kTP0AP66Km?e=e8YMX1).
 
-[Optional] You can also build your own ONNX Runtime arm64 AAR files for Android. (See [build instructions here](https://www.onnxruntime.ai/docs/how-to/build.html#android) and [Build Android Archive(AAR)](https://www.onnxruntime.ai/docs/how-to/build.html#build-android-archive-aar)). 
+[Optional] You can also build your own ONNX Runtime arm64 AAR files for Android. (See [build instructions here](https://www.onnxruntime.ai/docs/how-to/build.html#android) and [Build Android Archive(AAR)](https://www.onnxruntime.ai/docs/how-to/build.html#build-android-archive-aar)).
 
 
 ### Step 1. Clone the ONNX Runtime Mobile examples source code and download required model files
@@ -54,13 +54,13 @@ Connect your Android Device to the computer and select your device in the top-do
 
 <img width=60% src="images/screenshot_6.png" alt="App Screenshot"/>
 
-Then Select `Run-Run app` and this will prompt the app to be installed on your device. 
+Then Select `Run-Run app` and this will prompt the app to be installed on your device.
 
 Now you can test and try by opening the app `ort_image_classifier` on your device. The app may request your permission for using the camera.
 
 
 #
-Here's an example screenshot of the app. 
+Here's an example screenshot of the app.
 
 <img width=20% src="images/screenshot_2.jpg" alt="App Screenshot" />