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.

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