| --- |
| 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 |
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| **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". |
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| ## Dataset Structure |
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| Each sample is stored in an HDF5 file within the `Data/` directory and contains: |
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| - `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) |
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| ## Tasks Supported |
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| - Irrigation classification and segmentation |
| - Remote sensing-based object detection |
| - Multimodal learning with image + text |
| - Visual question answering on geospatial prompts |
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| ## License |
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| This dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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| check |
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