---
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.
Due to the space constraints, we uploaded the files across multiple repositories as follows:
To download Pennsylvania and Maryland, use the current repository (OBH30/IRRISIGHT). 
To download Arizona, Arkansas, Florida, Georgia, New Jersey, North Carolina, Ohio, Oregon, and South Carolina, use "NibirMandal/IRRISIGHT".




## 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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