diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 0000000..66aa242
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,10 @@
+version: 2
+updates:
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    target-branch: "main"
+    # Labels on pull requests for version updates only
+    labels:
+      - "pip dependencies"
\ No newline at end of file
diff --git a/README.md b/README.md
index 8d865c1..09a8967 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,18 @@ This is a command-line tool that simplifies the conversion process of YOLO model
 > \[!WARNING\]\
 > Please note that for the moment, we support conversion of YOLOv9 weights only from [Ultralytics](https://docs.ultralytics.com/models/yolov9/#performance-on-ms-coco-dataset).
 
-## Running
+## 📜 Table of contents
+
+- [💻 How to run](#run)
+- [⚙️ Arguments](#arguments)
+- [🧰 Supported Models](#supported-models)
+- [📝 Credits](#credits)
+- [📄 License](#license)
+- [🤝 Contributing](#contributing)
+
+<a name="run"></a>
+
+## 💻 How to run
 
 You can either export a model stored on the cloud (e.g. S3) or locally. You can choose to install the toolkit through pip or using Docker. In the sections below, we'll describe both options.
 
@@ -54,21 +65,54 @@ docker compose run tools_cli shared_with_container/models/yolov6nr4.pt
 
 The output files are going to be in `shared-component/output` folder.
 
-### Arguments
+<a name="arguments"></a>
+
+## ⚙️ Arguments
 
 - `model: str` = Path to the model.
 - `imgsz: str` = Image input shape in the format `width height` or `width`. Default value `"416 416"`.
-- `version: Optional[str]` =
+- `version: Optional[str]` = Version of the YOLO model. Default value `None`. If not specified, the version will be detected automatically. Supported versions: `yolov5`, `yolov6r1`, `yolov6r3`, `yolov6r4`, `yolov7`, `yolov8`, `yolov9`, `yolov10`, `yolov11`, `goldyolo`.
 - `use_rvc2: bool` = Whether to export for RVC2 or RVC3 devices. Default value `True`.
 - `class_names: Optional[str]` = Optional list of classes separated by a comma, e.g. `"person, dog, cat"`
 - `output_remote_url: Optional[str]` = Remote output url for the output .onnx model.
 - `config_path: Optional[str]` = Optional path to an optional config.
 - `put_file_plugin: Optional[str]` = Which plugin to use. Optional.
 
-## Credits
+<a name="supported-models"></a>
+
+## 🧰 Supported models
+
+Currently, the following models are supported:
+
+| Model Version | Supported versions                                                                                                                                                                                                                                                                  |
+| ------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `yolov5`      | YOLOv5n, YOLOv5s, YOLOv5m, YOLOv5l, YOLOv5x, YOLOv5n6, YOLOv5s6, YOLOv5m6, YOLOv5l6                                                                                                                                                                                                 |
+| `yolov6r1`    | **v1.0 release:** YOLOv6n, YOLOv6t, YOLOv6s                                                                                                                                                                                                                                         |
+| `yolov6r3`    | **v2.0 release:** YOLOv6n, YOLOv6t, YOLOv6s, YOLOv6m, YOLOv6l <br/> **v2.1 release:** YOLOv6n, YOLOv6s, YOLOv6m, YOLOv6l <br/> **v3.0 release:** YOLOv6n, YOLOv6s, YOLOv6m, YOLOv6l                                                                                                 |
+| `yolov6r4`    | **v4.0 release:** YOLOv6n, YOLOv6s, YOLOv6m, YOLOv6l                                                                                                                                                                                                                                |
+| `yolov7`      | YOLOv7-tiny, YOLOv7, YOLOv7x                                                                                                                                                                                                                                                        |
+| `yolov8`      | **Detection:** YOLOv8n, YOLOv8s, YOLOv8m, YOLOv8l, YOLOv8x, YOLOv3-tinyu, YOLOv5nu, YOLOv5n6u, YOLOv5s6u, YOLOv5su, YOLOv5m6u, YOLOv5mu, YOLOv5l6u, YOLOv5lu <br/> **Instance Segmentation, Pose, Oriented Detection, Classification:** YOLOv8n, YOLOv8s, YOLOv8m, YOLOv8l, YOLOv8x |
+| `yolov9`      | YOLOv9t, YOLOv9s, YOLOv9m, YOLOv9c                                                                                                                                                                                                                                                  |
+| `yolov10`     | YOLOv10n, YOLOv10s, YOLOv10m, YOLOv10b, YOLOv10l, YOLOv10x                                                                                                                                                                                                                          |
+| `yolov11`     | **Detection, Instance Segmentation, Pose, Oriented Detection, Classification:** YOLO11n, YOLO11s, YOLO11m, YOLO11l, YOLO11x                                                                                                                                                         |
+| `goldyolo`    | Gold-YOLO-N, Gold-YOLO-S, Gold-YOLO-M, Gold-YOLO-L                                                                                                                                                                                                                                  |
+
+If you don't find your model in the list, it is possible that it can be converted, however, this is not guaranteed.
+
+<a name="credits"></a>
+
+## 📝 Credits
 
 This application uses source code of the following repositories: [YOLOv5](https://github.com/ultralytics/yolov5), [YOLOv6](https://github.com/meituan/YOLOv6), [GoldYOLO](https://github.com/huawei-noah/Efficient-Computing) [YOLOv7](https://github.com/WongKinYiu/yolov7), and [Ultralytics](https://github.com/ultralytics/ultralytics) (see each of them for more information).
 
-## License
+<a name="license"></a>
+
+## 📄 License
 
 This application is available under **AGPL-3.0 License** license (see [LICENSE](https://github.com/luxonis/tools/blob/master/LICENSE) file for details).
+
+<a name="contributing"></a>
+
+## 🤝 Contributing
+
+We welcome contributions! Whether it's reporting bugs, adding features or improving documentation, your help is much appreciated. Please create a pull request ([here](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request)'s how to do it) and assign anyone from the Luxonis team to review the suggested changes. Cheers!