Update README.md

README.md

@@ -1,10 +1,17 @@
-<h1 align="center">
-  <img src=".readme/icon.png" width="200px"><br/>Labelme Toolkit
-</h1>
+<div align="center">
+  <h1>Labelme Toolkit</h1>
+  <p>Tools to streamline dataset creation.</p>
+</div>
 
-<h4 align="center">
-  Tools to streamline dataset creation.
-</h4>
+<br/><br/>
+
+<i>Labelme Toolkit</i> is a set of tools to streamline your dataset creation.
+
+<i>Labelme Toolkit</i> provides:
+
+1. **Automation** - Annotation by AI, data manipulation, validation, and export;
+1. **Batch processing** - Process multiple files at once;
+1. **Seamless integration with [Labelme](https://labelme.io)** - Compatible annotation format;
 
 ## Installation
 
@@ -15,9 +22,18 @@ pip install labelme-toolkit
 ## Usage
 
 ```bash
-labelmetk json-to-mask dogs.json
+labelmetk <COMMAND> [OPTIONS]
 ```
 
-<img src=".readme/dogs_json_to_mask.jpg" width="50%">
+### Commands
+
+- `ai-annotate-rectangles`:  Annotate rectangle from text by AI.
+- `extract-image`:           Extract image from a JSON file.
+- `install-toolkit-pro`:     Install Toolkit Pro.
+- `json-to-mask`:            Convert a Labelme JSON file to a mask.
+- `json-to-visualization`:   Convert a Labelme JSON file to a visualization.
+- `list-labels`:             List unique labels in the JSON files.
 
 For step-by-step guide: [Labelme Toolkit Guide](https://gumroad.labelme.io/l/toolkit-guide).
+
+For Pro version: [Labelme Toolkit Pro](https://gumroad.labelme.io/l/toolkit-pro).