---
task_categories:
- image-segmentation
---
# MARIDA 
**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.

## How to Use This Dataset
```python
from datasets import load_dataset

dataset = load_dataset("GFM-Bench/MARIDA")
```

Also, please see our [GFM-Bench](https://github.com/uiuctml/GFM-Bench) repository for more information about how to use the dataset! 🤗

## Dataset Metadata

The following metadata provides details about the Sentinel-2 imagery used in the dataset:
<!--- **Number of Sentinel-1 Bands**: 2-->
<!--- **Sentinel-1 Bands**: VV, VH-->
- **Number of Sentinel-2 Bands**: 11 
- **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**)
- **Image Resolution**: 96 x 96 pixels
- **Spatial Resolution**: 10 meters 
- **Number of Classes**: 11

## Dataset Splits
The **MARIDA** dataset consists following splits:
- **train**: 5,622 samples
- **val**: 624 samples
- **test**: 6,183 samples

## Dataset Features:
The **MARIDA** dataset consists of following features:
<!--- **radar**: the Sentinel-1 image.-->
- **optical**: the Sentinel-2 image.
- **label**: the segmentation labels.
<!--- **radar_channel_wv**: the central wavelength of each Sentinel-1 bands.-->
- **optical_channel_wv**: the central wavelength of each Sentinel-2 bands.
- **spatial_resolution**: the spatial resolution of images.
## Citation
If you use the MARIDA dataset in your work, please cite the original paper:
```
@article{kikaki2022marida,
  title={MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data},
  author={Kikaki, Katerina and Kakogeorgiou, Ioannis and Mikeli, Paraskevi and Raitsos, Dionysios E and Karantzalos, Konstantinos},
  journal={PloS one},
  volume={17},
  number={1},
  pages={e0262247},
  year={2022},
  publisher={Public Library of Science San Francisco, CA USA}
}
```