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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/).
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