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--- |
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task_categories: |
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- image-segmentation |
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--- |
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# MARIDA |
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**MARIDA** is a dataset for sparsely labeled marine debris which consists of 11 MSI bands. This dataset contains a training set of 694 samples along with a validation set of 328 samples and a test set of 350 samples. All image samples are originally 256 x 256 pixels. Wecombine both the original validation set and test set into one single test set (678 samples). Weemploy the same approach as DFC2020’s where we divide 256 x 256 pixels into 9 smaller patches of 96 x 96 pixels. Thus, our final training set contains 5,622 training samples, 624 validation samples and 6,183 test samples. All images are 96 x 96 pixels. |
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## How to Use This Dataset |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("GFM-Bench/MARIDA") |
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``` |
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Also, please see our [GFM-Bench](https://github.com/uiuctml/GFM-Bench) repository for more information about how to use the dataset! 🤗 |
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## Dataset Metadata |
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The following metadata provides details about the Sentinel-2 imagery used in the dataset: |
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<!--- **Number of Sentinel-1 Bands**: 2--> |
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<!--- **Sentinel-1 Bands**: VV, VH--> |
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- **Number of Sentinel-2 Bands**: 11 |
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- **Sentinel-2 Bands**: B01 (**Coastal aerosol**), B02 (**Blue**), B03 (**Green**), B04 (**Red**), B05 (**Vegetation red edge**), B06 (**Vegetation red edge**), B07 (**Vegetation red edge**), B08 (**NIR**), B8A (**Narrow NIR**), B11 (**SWIR**), B12 (**SWIR**) |
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- **Image Resolution**: 96 x 96 pixels |
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- **Spatial Resolution**: 10 meters |
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- **Number of Classes**: 11 |
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## Dataset Splits |
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The **MARIDA** dataset consists following splits: |
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- **train**: 5,622 samples |
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- **val**: 624 samples |
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- **test**: 6,183 samples |
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## Dataset Features: |
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The **MARIDA** dataset consists of following features: |
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<!--- **radar**: the Sentinel-1 image.--> |
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- **optical**: the Sentinel-2 image. |
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- **label**: the segmentation labels. |
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<!--- **radar_channel_wv**: the central wavelength of each Sentinel-1 bands.--> |
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- **optical_channel_wv**: the central wavelength of each Sentinel-2 bands. |
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- **spatial_resolution**: the spatial resolution of images. |
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## Citation |
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If you use the MARIDA dataset in your work, please cite the original paper: |
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``` |
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@article{kikaki2022marida, |
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title={MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data}, |
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author={Kikaki, Katerina and Kakogeorgiou, Ioannis and Mikeli, Paraskevi and Raitsos, Dionysios E and Karantzalos, Konstantinos}, |
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journal={PloS one}, |
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volume={17}, |
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number={1}, |
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pages={e0262247}, |
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year={2022}, |
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publisher={Public Library of Science San Francisco, CA USA} |
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} |
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``` |
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and if you also find our benchmark useful, please consider citing our paper: |
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``` |
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@misc{si2025scalablefoundationmodelmultimodal, |
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title={Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data}, |
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author={Haozhe Si and Yuxuan Wan and Minh Do and Deepak Vasisht and Han Zhao and Hendrik F. Hamann}, |
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year={2025}, |
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eprint={2503.12843}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2503.12843}, |
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} |
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``` |
