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Download README.md from asterisk-labs/iris-datasets: direct link, hf CLI and curl.
- Browser
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https://huggingface.co/datasets/asterisk-labs/iris-datasets/resolve/main/README.md
- Command line
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hf download hf://datasets/asterisk-labs/iris-datasets/README.md
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curl -L -o README.md https://huggingface.co/datasets/asterisk-labs/iris-datasets/resolve/main/README.md
1.62 kB
metadata
pretty_name: IRIS Earth Observation Demos
license: other
tags:
- earth-observation
- geospatial
- sentinel-2
- image-segmentation
- change-detection
IRIS Earth Observation Demos
Small, browser-ready Earth observation projects for IRIS. Each project lives in its own folder and contains exactly two Cloud Optimized GeoTIFF samples.
| Folder | Task | Samples |
|---|---|---|
cloud-demo/ |
Cloud segmentation | Western Australia and the Alps |
flood-mapping/ |
Flood extent | Two areas in Sindh, Pakistan |
burn-scars/ |
Burn scar mapping | Lahaina and Rhodes |
land-cover/ |
Multi-class land cover | Rotterdam and Mato Grosso |
urban-change/ |
Urban change, 2018–2025 | New Cairo and Riyadh |
Every folder follows the same layout:
<project>/
├── project.json
├── images.json
├── images/<id>/s2.tif
├── images/<id>/thumbnail.png
├── images/<id>/metadata.json
└── segmentation/<id>/<user>_mask.tif
The segmentation/ paths are populated by IRIS when an authenticated user saves a mask. Project data and annotation results therefore remain together in this repository. Each user needs a Hugging Face token with write access to this dataset.
The newly prepared samples use Copernicus Sentinel-2 Level-2A imagery accessed through Element 84 Earth Search. See each project folder for source details and the applicable Copernicus Sentinel Data Terms and Conditions.