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--- |
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pretty_name: IRRISIGHT |
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tags: |
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- remote-sensing |
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- irrigation |
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- agriculture |
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- earth-observation |
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license: cc-by-4.0 |
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task_categories: |
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- image-segmentation |
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- image-classification |
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- object-detection |
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- visual-question-answering |
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language: |
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- en |
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multilinguality: monolingual |
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size_categories: |
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- 1M<n<10M |
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--- |
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# 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. |
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Due to the space constraints, we uploaded the files across multiple repositories as follows: |
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To download Pennsylvania and Maryland, use the current repository (OBH30/IRRISIGHT). |
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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 |
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- `agri_index`: Multiband vegetation indices (e.g., NDVI, NDWI, EVI) |
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- `land_mask`, `crop_mask`, `irr_mask`, `subirr_mask`: Label and context masks |
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- Metadata attributes: |
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- `image_path` |
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- `polygon` (WKT geometry) |
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- `crs` (spatial reference) |
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- `split` (train/test) |
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- `text_prompt` (structured soil/environmental description) |
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## Tasks Supported |
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- Irrigation classification and segmentation |
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- Remote sensing-based object detection |
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- Multimodal learning with image + text |
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- 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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