Clean up README

README.md

@@ -13,12 +13,11 @@
 </div>
 
 <div align="center">
-  <a href="#starter-guide"><b>Starter Guide</b></a>
-  | <a href="https://github.com/labelmeai/toolkit"><b>Toolkit↗</b></a>
+  <a href="https://starter-guide.labelme.io"><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://x.com/labelmeai"><b>X/Twitter</b></a>
+  | <a href="https://twitter.com/labelmeai"><b>Twitter</b></a>
   <!-- | <a href="https://github.com/wkentaro/labelme/discussions"><b>Community</b></a> -->
   <!-- | <a href="https://www.youtube.com/playlist?list=PLI6LvFw0iflh3o33YYnVIfOpaO0hc5Dzw"><b>Youtube FAQ</b></a> -->
 </div>
@@ -31,7 +30,7 @@
 
 ## Description
 
-Labelme is a graphical image annotation tool inspired by <http://labelme.csail.mit.edu>.  
+Labelme is a graphical image annotation tool.
 It is written in Python and uses Qt for its graphical interface.
 
 <img src="examples/instance_segmentation/data_dataset_voc/JPEGImages/2011_000006.jpg" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationClass/2011_000006.png" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000006.jpg" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationObject/2011_000006.png" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000006.jpg" width="19%" />  
@@ -54,15 +53,6 @@ It is written in Python and uses Qt for its graphical interface.
 - [x] Exporting COCO-format dataset for instance segmentation. ([instance segmentation](examples/instance_segmentation))
 
 
-## Starter Guide
-
-If you're new to Labelme, you can get started with [Labelme Starter Guide](https://labelme.gumroad.com/l/starter-guide) (FREE), which contains:
-
-- **Installation guides** for all platforms: Windows, macOS, and Linux 💻
-- **Step-by-step tutorials**: first annotation to editing, exporting, and integrating with other programs 📕
-- **A compilation of valuable resources** for further exploration 🔗.
-
-
 ## Installation
 
 There are options: