


The banana images dataset was created to contribute to the study of banana diseases diagnostics. The images target the diagnostics of Black Sigatoka and Fusarium Wilt Race 1 diseases. We are motivated in developing end to end tools to help farmers diagnose diseases and improve banana productivity. The dataset was created to facilitate image classification and object detection tasks.
Scholarship funders - International Development Research Centre (IDRC) and Swedish International Development Cooperation Agency (SIDA) Scholarship Programme - Artificial Intelligence for Development (AI4D) Africa Scholarship Fund Manager - African Center for Technology Studies (ACTS)