# Eyes on the Ground Image Data
The 'Eyes on the Ground' project ([lacunafund.org](https://lacunafund.org/ag2020awards/)) is a collaboration between ACRE Africa, the International Food Policy Research Institute (IFPRI), and the Lacuna Fund, to create a large machine learning (ML) dataset of smallholder farmer's fields based upon previous work within the Picture Based Insurance framework (Ceballos, Kramer and Robles, 2019, [https://doi.org/10.1016/j.deveng.2019.100042](https://doi.org/10.1016/j.deveng.2019.100042)). This is a unique dataset of georeferenced crop images along with labels on input use, crop management, phenology, crop damage, and yields, collected across 8 counties in Kenya.The research leading to this dataset was undertaken as part of the CGIAR research program on Policies, Institutions and Markets (PIM)

## Documentation
* [Link](https://radiantearth.blob.core.windows.net/mlhub/koen_lacuna_fund/Documentation.pdf)

## Tools & Applications
* [Seeitgrow](https://play.google.com/store/apps/details?id=com.ifpri.seeitgrow.kenya)

## Creator & Contact
* [Lacuna Fund](https://lacunafund.org/), [ACRE Africa](https://acreafrica.com/), [KALRO]( https://www.kalro.org/), [IFPRI](https://www.ifpri.org/), [CGIAR PIM](https://pim.cgiar.org/), [BlueGreen labs](https://bluegreenlabs.org/), [Dvara E-Registry](https://www.dvaraeregistry.com/)
* lwaithaka@acreafrica.com

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

## Citation & DOI
Waithaka, L., Kramer, B., Hufkens, K., Kivuva, B., & Mansabdar, S. (2022) Eyes on the Ground Image Data, Version 1.0, (Version 1.0) Radiant MLHub. [Date Accessed] https://doi.org/10.34911/rdnt.1bs2jw