---
license: openrail
task_categories:
- image-segmentation
tags:
- climate
size_categories:
- n<1K
---

# Dataset Card for South Africa Crop Type Clouds

<!-- Provide a quick summary of the dataset. -->
This dataset contains the cloud masks generated and used for the paper [KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation](https://arxiv.org/abs/2408.07040).

- **Curated by:** Daniele Rege Cambrin
- **License:** OpenRAIL

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

The dataset will provide a quality assessment for Sentinel-2 images of the South Africa Crop Type dataset.
Since MSI is ineffective through clouds, it was used to exclude samples that contain a large portion of the area of interest covered by clouds.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The dataset has the following structure:
```json
{
  "__key__": FileName,
  "__url__": OriginTarFile,
  "tiff": PILImage
}
```
where *FileName* is also the name of the folder in the South Africa Crop Type Dataset.

**IMPORTANT**: Remember to convert the PIL Image to an array to obtain the probability mask of clouds.


## Dataset Creation

The masks are created automatically using the [s2cloudless library](https://pypi.org/project/s2cloudless/) using the algorithm presented by [Sergii Skakun et. al](https://doi.org/10.1016/j.rse.2022.112990).

The missing bands are replaced with a channel with no-data value (0) to avoid the algorithm relying on this channel for the prediction.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

Since no human expert is involved in the process, some annotations could be inaccurate or unreliable. 
The masks are intended to exclude samples that could be under a certain degree of uncertainty noise, and that cannot be annotated by a human expert, too.
They should not be used outside this scope.

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

If you use this dataset in your work, consider citing our work.

**BibTeX:**

```bibtex
@misc{cambrin2024kanitkanssentinel,
      title={KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation}, 
      author={Daniele Rege Cambrin and Eleonora Poeta and Eliana Pastor and Tania Cerquitelli and Elena Baralis and Paolo Garza},
      year={2024},
      eprint={2408.07040},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2408.07040}, 
}
```