metadata

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.

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