diff --git a/README.md b/README.md
index 86c14300..9fd7ca88 100644
--- a/README.md
+++ b/README.md
@@ -6,38 +6,47 @@ LabelImg is a graphical image annotation tool.
 
 It is written in Python and uses Qt for its graphical interface.
 
-The annotation file will be saved as an XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
+Annotations are saved as XML files in PASCAL VOC format, the format used by [ImageNet](http://www.image-net.org/).
 
-![](demo/demo.png)
+![](demo/demo3.jpg)
 
-![](demo/demo2.png)
+[Watch a demo video by author tzutalin](https://youtu.be/p0nR2YsCY_U)
 
-[![Demo video](https://j.gifs.com/4xy9z2.gif)](https://www.youtube.com/watch?v=p0nR2YsCY_U&feature=youtu.be)
+## Get it
 
-## Build source and use it
+### Download prebuilt binaries
+
+* Windows
+ * [Download LabelImg 1.2.1 for Windows](https://raw.githubusercontent.com/tzutalin/LabelImg/gh-pages/windows/windows_v1.2.1.zip)
+ * [Download LabelImg 1.2 for Windows](https://raw.githubusercontent.com/tzutalin/LabelImg/gh-pages/windows/windows_v1.2.zip)
+* Linux
+ * [Download LabelImg 1.2.1 for Linux](https://raw.githubusercontent.com/tzutalin/LabelImg/gh-pages/linux/linux_v1.2.1.zip)
+ * [Download LabelImg 1.2 for Linux](https://raw.githubusercontent.com/tzutalin/LabelImg/gh-pages/linux/linux_v1.2.zip)
+* OS X
+ * Binaries for OS X are not yet available. Help would be appreciated. At present it must be [built from source](#os-x).
+
+### Build from source
 
 Linux/Ubuntu/Mac requires at least [Python 2.6](http://www.python.org/getit/) and has been tested with [PyQt
 4.8](http://www.riverbankcomputing.co.uk/software/pyqt/intro).
 
-In order to build the resource and assets, you need to install pyqt4-dev-tools and lxml:
-
-### Ubuntu
+#### Ubuntu Linux
 
     sudo apt-get install pyqt4-dev-tools
     sudo pip install lxml
     make all
     ./labelImg.py
 
-### OS X
+#### OS X
 
     brew install qt qt4
     brew install libxml2
     make all
     ./labelImg.py
 
-### Windows
+#### Windows
 
-Need to download and setup [Python 2.6](https://www.python.org/downloads/windows/) or later and [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download). Also, you need to install lxml.
+Download and setup [Python 2.6 or later](https://www.python.org/downloads/windows/), [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download) and [install lxml](http://lxml.de/installation.html).
 
 Open cmd and go to [labelImg]
 
@@ -45,31 +54,16 @@ Open cmd and go to [labelImg]
     python labelImg.py
 
 
-## Download the prebuilt binary directly
-[http://tzutalin.github.io/labelImg/](http://tzutalin.github.io/labelImg/). However, there are only prebuilt binaries for Windows and Linux because I don't have Mac OS to do that. If someone can help me to write a script to build binary for Mac OS, I will appreciate that.
-
 ## Usage
-After cloning the code, you should run `$ make all` to generate the resource file.
 
-You can then start annotating by running `$ ./labelImg.py`. For usage
-instructions you can see [Here](https://youtu.be/p0nR2YsCY_U)
+### Steps
 
-At the moment annotations are saved as an XML file. The format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
+1. Build and launch using the instructions above.
+2. Click 'Change default saved annotation folder' in Menu/File
+3. Click 'Open Dir'
+4. Click 'Create RectBox'
 
-You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
-
-
-### General steps from scratch
-
-* Build and launch: `$ make all; python labelImg.py`
-
-* Click 'Change default saved annotation folder' in Menu/File
-
-* Click 'Open Dir'
-
-* Click 'Create RectBox'
-
-The annotation will be saved to the folder you specify
+The annotation will be saved to the folder you specify.
 
 ### Create pre-defined classes
 
@@ -77,15 +71,13 @@ You can edit the [data/predefined_classes.txt](https://github.com/tzutalin/label
 
 ### Hotkeys
 
-* Ctrl + r : Change the defult target dir which saving annotation files
-
-* Ctrl + s : Save
-
-* w : Create a bounding box
-
-* d : Next image
-
-* a : Previous image
+|          |                                          |
+|----------|------------------------------------------|
+| Ctrl + r | Change the default annotation target dir |
+| Ctrl + s | Save                                     |
+| w        | Create a bounding box                    |
+| d        | Next image                               |
+| a        | Previous image                           |
 
 ### How to contribute
 Send a pull request
@@ -93,3 +85,6 @@ Send a pull request
 ### License
 [License](LICENSE.md)
 
+### Related
+1. [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
+
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