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--- |
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license: odbl |
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--- |
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# How to use it |
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Install Dataset4EO |
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```git clone --branch streaming https://github.com/EarthNets/Dataset4EO.git``` |
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```pip install -e .``` |
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Then download the dataset from this Huggingface repo. |
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```python |
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import dataset4eo as eodata |
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import time |
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train_dataset = eodata.StreamingDataset(input_dir="optimized_mmflood_sar_train", num_channels=3, shuffle=True, drop_last=True) |
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sample = dataset[101] |
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print(sample.keys()) |
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print(sample["image"]) |
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print(sample["simage"].shape) |
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print(sample["label"]) |
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``` |
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We acknowledge and give full credit to the original authors of SpectralEarth for their effort in creating this dataset. |
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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: |
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``` |
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@article{montello2022mmflood, |
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title={Mmflood: A multimodal dataset for flood delineation from satellite imagery}, |
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author={Montello, Fabio and Arnaudo, Edoardo and Rossi, Claudio}, |
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journal={IEEE Access}, |
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volume={10}, |
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pages={96774--96787}, |
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year={2022}, |
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publisher={IEEE} |
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} |
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``` |
