Update README.md

README.md

@@ -9,15 +9,15 @@
 <div align="center">
   <a href="https://pypi.python.org/pypi/labelme"><img src="https://img.shields.io/pypi/v/labelme.svg"></a>
   <a href="https://pypi.org/project/labelme"><img src="https://img.shields.io/pypi/pyversions/labelme.svg"></a>
-  <a href="https://github.com/wkentaro/labelme/actions"><img src="https://github.com/wkentaro/labelme/workflows/ci/badge.svg?branch=main&event=push"></a>
+  <a href="https://github.com/labelmeai/labelme/actions"><img src="https://github.com/labelmeai/labelme/workflows/ci/badge.svg?branch=main&event=push"></a>
 </div>
 
 <div align="center">
   <a href="#starter-guide"><b>Starter Guide</b></a>
   | <a href="#installation"><b>Installation</b></a>
   | <a href="#usage"><b>Usage</b></a>
   | <a href="#examples"><b>Examples</b></a>
-  <!-- | <a href="https://github.com/wkentaro/labelme/discussions"><b>Community</b></a> -->
+  <!-- | <a href="https://github.com/labelmeai/labelme/discussions"><b>Community</b></a> -->
   <!-- | <a href="https://www.youtube.com/playlist?list=PLI6LvFw0iflh3o33YYnVIfOpaO0hc5Dzw"><b>Youtube FAQ</b></a> -->
 </div>
 
@@ -45,9 +45,9 @@ It is written in Python and uses Qt for its graphical interface.
 ## Features
 
 - [x] Image annotation for polygon, rectangle, circle, line and point. ([tutorial](examples/tutorial))
-- [x] Image flag annotation for classification and cleaning. ([#166](https://github.com/wkentaro/labelme/pull/166))
+- [x] Image flag annotation for classification and cleaning. ([#166](https://github.com/labelmeai/labelme/pull/166))
 - [x] Video annotation. ([video annotation](examples/video_annotation))
-- [x] GUI customization (predefined labels / flags, auto-saving, label validation, etc). ([#144](https://github.com/wkentaro/labelme/pull/144))
+- [x] GUI customization (predefined labels / flags, auto-saving, label validation, etc). ([#144](https://github.com/labelmeai/labelme/pull/144))
 - [x] Exporting VOC-format dataset for semantic/instance segmentation. ([semantic segmentation](examples/semantic_segmentation), [instance segmentation](examples/instance_segmentation))
 - [x] Exporting COCO-format dataset for instance segmentation. ([instance segmentation](examples/instance_segmentation))
 
@@ -67,7 +67,7 @@ There are options:
 
 - Platform agnostic installation: [Anaconda](#anaconda)
 - Platform specific installation: [Ubuntu](#ubuntu), [macOS](#macos), [Windows](#windows)
-- Pre-build binaries from [the release section](https://github.com/wkentaro/labelme/releases)
+- Pre-build binaries from [the release section](https://github.com/labelmeai/labelme/releases)
 
 ### Anaconda
 
@@ -94,7 +94,10 @@ sudo apt-get install labelme
 sudo pip3 install labelme
 
 # or install standalone executable from:
-# https://github.com/wkentaro/labelme/releases
+# https://github.com/labelmeai/labelme/releases
+
+# or install from source
+pip3 install git+https://github.com/labelmeai/labelme
 ```
 
 ### macOS
@@ -103,12 +106,11 @@ sudo pip3 install labelme
 brew install pyqt  # maybe pyqt5
 pip install labelme
 
-# or
-brew install wkentaro/labelme/labelme  # command line interface
-# brew install --cask wkentaro/labelme/labelme  # app
-
 # or install standalone executable/app from:
-# https://github.com/wkentaro/labelme/releases
+# https://github.com/labelmeai/labelme/releases
+
+# or install from source
+pip3 install git+https://github.com/labelmeai/labelme
 ```
 
 ### Windows
@@ -121,7 +123,10 @@ conda activate labelme
 pip install labelme
 
 # or install standalone executable/app from:
-# https://github.com/wkentaro/labelme/releases
+# https://github.com/labelmeai/labelme/releases
+
+# or install from source
+pip3 install git+https://github.com/labelmeai/labelme
 ```
 
 
@@ -173,7 +178,7 @@ labelme data_annotated/ --labels labels.txt  # specify label list with a file
 ## How to develop
 
 ```bash
-git clone https://github.com/wkentaro/labelme.git
+git clone https://github.com/labelmeai/labelme.git
 cd labelme
 
 # Install anaconda3 and labelme