Dataset: Banana Imagery Dataset - Tanzania
| dc.contributor.author | Mduma, Neema | |
| dc.contributor.author | Elinisa, Christian | |
| dc.date.accessioned | 2025-09-11T08:02:28Z | |
| dc.date.issued | 2023-02-23 | |
| dc.description | SDG-1: No Poverty SDG-2: Zero Hunger SDG-9: Industry, Innovation and Infrastructure | |
| dc.description.abstract | 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. | |
| dc.identifier.uri | https://doi.org/10.5281/zenodo.7670326 | |
| dc.identifier.uri | https://dspace.nm-aist.ac.tz/handle/123456789/3222 | |
| dc.language.iso | en | |
| dc.publisher | Zenodo | |
| dc.subject | Computer Science | |
| dc.subject | Computer Vision | |
| dc.subject | Machine Learning | |
| dc.subject | Deep Learning | |
| dc.title | Dataset: Banana Imagery Dataset - Tanzania | |
| dc.type | Dataset |