# South Africa Crop Type Competition
This dataset was produced as part of the [Radiant Earth Spot the Crop Challenge](https://zindi.africa/hackathons/radiant-earth-spot-the-crop-hackathon). The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites.

## Documentation
* [Link](https://radiantearth.blob.core.windows.net/mlhub/ref-south-africa-crops-competition-v1/documentation.pdf)

## Tutorials
* [A Guide to Access the data on Radiant MLHub](https://nbviewer.org/github/radiantearth/mlhub-tutorials/blob/main/notebooks/South%20Africa%20Crop%20Types%20Competition/south_africa_crop_type_competition_load_asset_paths.ipynb) by [Kevin Booth](https://www.linkedin.com/in/kbgg/)
* [A Baseline Model for the Radiant Earth Spot the Crop Challenge](https://nbviewer.org/github/radiantearth/mlhub-tutorials/blob/main/notebooks/South%20Africa%20Crop%20Types%20Competition/Radiant_Earth_Spot_the_Crop_Baseline_Model.ipynb) by [Hamed Alemohammad](https://www.linkedin.com/in/hamedalemo/)

## Creator & Contact
* [Radiant Earth Foundation](https://www.radiant.earth/)
* ml@radiant.earth

## License
* [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

## Citation & DOI
Western Cape Department of Agriculture, Radiant Earth Foundation (2021) "Crop Type Classification Dataset for Western Cape, South Africa", Version 1.0, Radiant MLHub, [Date Accessed] https://doi.org/10.34911/rdnt.j0co8q