Update README.md

README.md

@@ -239,7 +239,28 @@ The **Model ID** can be used to retrieve the corresponding pre-trained model fro
 
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-## ✨ Sample Usage
+
+
+## 🔎 Filter dataset with the FLAIR-HUB Dataset Browser
+
+A small desktop GUI to browse and download subsets 
+of the IGNF/FLAIR-HUB dataset from Hugging Face with filters for: Domain, Year, Modality or Data type.
+
+Requirements: 
+
+- Python 3.9+
+- Tkinter (usually included; on Linux you may need: sudo apt-get install python3-tk)
+- Python packages: pip install `huggingface_hub`
+
+Run:
+1. Get the `flair-hub-HF-dl.py` file in files of this dataset.
+2. In a terminal: ```pip install huggingface_hub```
+3. Launch: ```python flair-hub-HF-dl.py```
+
+
+
+
+## ✨ MAESTRO basecode
 
 This dataset is extensively used by the [MAESTRO model](https://huggingface.co/papers/2508.10894) for masked autoencoding on multimodal Earth observation data. You can find the MAESTRO model's code on its [GitHub repository](https://github.com/ignf/maestro).