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readme.md

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+---
+pretty_name: IRRISIGHT
+tags:
+  - remote-sensing
+  - irrigation
+  - agriculture
+  - earth-observation
+license: cc-by-4.0
+task_categories:
+  - image-segmentation
+  - image-classification
+  - object-detection
+  - visual-question-answering
+language:
+  - en
+multilinguality: monolingual
+size_categories:
+  - 1M<n<10M
+---
+
+# IRRISIGHT
+
+**IRRISIGHT** is a large-scale multimodal dataset to address water availability problems in agriculture. It is designed to support supervised and semi-supervised learning tasks related to agricultural water use monitoring.
+
+## Dataset Structure
+
+Each sample is stored in an HDF5 file within the `Data/` directory and contains:
+
+- `rgb`: Sentinel-2 RGB image
+- `agri_index`: Multiband vegetation indices (e.g., NDVI, NDWI, EVI)
+- `land_mask`, `crop_mask`, `irr_mask`, `subirr_mask`: Label and context masks
+- Metadata attributes:
+  - `image_path`
+  - `polygon` (WKT geometry)
+  - `crs` (spatial reference)
+  - `split` (train/test)
+  - `text_prompt` (structured soil/environmental description)
+
+## Tasks Supported
+
+- Irrigation classification and segmentation
+- Remote sensing-based object detection
+- Multimodal learning with image + text
+- Visual question answering on geospatial prompts
+
+## License
+
+This dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+check