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Makerere University Cassava Image Dataset
The dataset was created to provide an open-source and well-curated image dataset showing diseased and healthy cassava leaf images from Uganda. This will be used by data... -
Makerere University Maize Image Dataset
The dataset was created to provide an open and accessible maize dataset with well-labeled, sufficiently curated, and prepared maize crop imagery that will be used by data... -
Cassava Whitefly Dataset
This dataset contains images of whitefly infested cassava leaves. The images were captured from the National Crop Resources Research Institute (NaCRRI) in Namulonge, Uganda as... -
Cassava Spectral and Image Dataset
We present a spectral dataset, procedures and steps we adopted to collect disease data in a controlled environment aiming at early disease detection in cassava. As a baseline,... -
Multilingual Parallel Text Corpora for East African Languages
This is a partial multilingual parallel corpora of 5 East African languages. The dataset contains an English text corpus that has been translated into five East African... -
Coffee and Cashew Nut Dataset
Our research focuses on using machine learning and drone technology to improve yield estimation in agriculture. We introduce the "Coffee and Cashew Nut Dataset," containing... -
Makerere University Beans Image Dataset
This beans dataset was created to provide an open and accessible, well-labeled, sufficiently curated image dataset. This is to enable researchers to build various machine... -
Cassava root cross-section images
This dataset contains images of cassava root cross-sections captured by the Makerere University Artificial Intelligence Lab in conjunction with the National Crop Resources... -
Lacuna Malaria Datasets
This dataset contains thick and thin blood smear images captured using smartphones on a microscope. The images have been annotated with bounding boxes showing different objects... -
Sentiment Tagged Parallel Corpus for Luganda and Swahili
This dataset contains 10,000 parallel sentiment-tagged sentences. English sentences were translated to both Luganda and Swahili. The translations were done by language experts...