---
license: odbl
---

# How to use it
Install Dataset4EO

```git clone --branch streaming https://github.com/EarthNets/Dataset4EO.git```

```pip install -e .```

Then download the dataset from this Huggingface repo.

```python
import dataset4eo as eodata
import time

train_dataset = eodata.StreamingDataset(input_dir="optimized_mmflood_sar_train", num_channels=3, shuffle=True, drop_last=True)
sample = dataset[101]
print(sample.keys())
print(sample["image"])        
print(sample["simage"].shape)
print(sample["label"]) 
```


We acknowledge and give full credit to the original authors of SpectralEarth for their effort in creating this dataset.
The dataset is re-hosted in compliance with its original license to facilitate further research. Please cite the following paper for the creation of the dataset:

```
@article{montello2022mmflood,
  title={Mmflood: A multimodal dataset for flood delineation from satellite imagery},
  author={Montello, Fabio and Arnaudo, Edoardo and Rossi, Claudio},
  journal={IEEE Access},
  volume={10},
  pages={96774--96787},
  year={2022},
  publisher={IEEE}
}
```