Update README.md

contrib/README.md

@@ -5,7 +5,8 @@ The *contrib* directory contains code which is not part of the main Computer Vis
 Each project should live in its own subdirectory ```/contrib/<project>``` and contain a README.md file with detailed description what the project does and how to use it. In addition, when adding a new project, a brief description should be added to the table below.
 
 
-| Directory | Project description |
-|---|---|
-| [Action recognition](action_recognition) | Action recognition to identify in video/webcam footage what actions are performed (e.g. "running", "opening a bottle") and at what respective start/end times.|
-| [vm_builder](vm_builder) | This script helps users easily create an Ubuntu Data Science Virtual Machine with a GPU with the Computer Vision repo installed and ready to be used. If you find the script to be out-dated or not working, you can create the VM using the Azure portal or the Azure CLI tool with a few more steps. |
+| Directory | Project description | Build status (optional) |
+|---|---|---|
+| [Action recognition](action_recognition) | Action recognition to identify in video/webcam footage what actions are performed (e.g. "running", "opening a bottle") and at what respective start/end times.| |
+| [Crowd counting](crowd_counting) | Counting the number of people in low-crowd-density (e.g. less than 10 people) and high-crowd-density (e.g. thousands of people) scenarios. | [![Build Status](https://dev.azure.com/team-sharat/crowd-counting/_apis/build/status/lixzhang.cnt?branchName=lixzhang%2Fsubmodule-rev3)](https://dev.azure.com/team-sharat/crowd-counting/_build/latest?definitionId=49&branchName=lixzhang%2Fsubmodule-rev3)|
+| [vm_builder](vm_builder) | This script helps users easily create an Ubuntu Data Science Virtual Machine with a GPU with the Computer Vision repo installed and ready to be used. If you find the script to be out-dated or not working, you can create the VM using the Azure portal or the Azure CLI tool with a few more steps. | |