Datasets:
Dataset Viewer (First 5GB)
meta.json
dict | agri_index.npy
sequencelengths 12
12
| crop_mask.npy
sequencelengths 1
1
| irr_mask.npy
sequencelengths 224
224
| rgb.npy
sequencelengths 3
3
| label_confidence.npy
sequencelengths 224
224
| synthetic_label.npy
sequencelengths 224
224
| land_mask.npy
sequencelengths 1
1
| subirr_mask.npy
sequencelengths 224
224
| __key__
stringlengths 98
102
| __url__
stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|
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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 imageagri_index: Multiband vegetation indices (e.g., NDVI, NDWI, EVI)land_mask,crop_mask,irr_mask,subirr_mask: Label and context masks- Metadata attributes:
image_pathpolygon(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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