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HumanSignal · Aug 1, 2024 · e09b9a6 · e09b9a6
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diff --git a/label_studio_ml/examples/segment_anything_2/README.md b/label_studio_ml/examples/segment_anything_2/README.md
@@ -21,13 +21,15 @@ pip install -r requirements.txt
 2. Download [`segment-anything-2` repo](https://github.com/facebookresearch/segment-anything-2) into the root directory. Install SegmentAnything model and download checkpoints using [the official Meta documentation](https://github.com/facebookresearch/segment-anything-2?tab=readme-ov-file#installation)
 
 
-3. Then you can start the ML backend:
+3. Then you can start the ML backend on the default port `9090`:
 
 ```bash
 cd ../
 label-studio-ml start ./segment_anything_2
 ```
 
+4. Connect running ML backend server to Label Studio: go to your project `Settings -> Machine Learning -> Add Model` and specify `http://localhost:9090` as a URL. Read more in the official [Label Studio documentation](https://labelstud.io/guide/ml#Connect-the-model-to-Label-Studio).
+
 ## Running with Docker (coming soon)
 
 1. Start Machine Learning backend on `http://localhost:9090` with prebuilt image: