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Part 1: Document Description
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Citation |
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Title: |
Makerere University Cassava Image Dataset |
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Identification Number: |
doi:10.7910/DVN/T4RB0B |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-08-18 |
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Version: |
1 |
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Bibliographic Citation: |
Tusubira, Francis Jeremy; Nakatumba-Nabende, Joyce; Babirye, Claire; Okao-Okujja, Geoffrey; Mutebi, Chodrine; Mugalu, Ben Wycliff; Nabagereka, Deborah; Namanya, Gloria, 2022, "Makerere University Cassava Image Dataset", https://doi.org/10.7910/DVN/T4RB0B, Harvard Dataverse, V1 |
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Citation |
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Title: |
Makerere University Cassava Image Dataset |
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Identification Number: |
doi:10.7910/DVN/T4RB0B |
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Authoring Entity: |
Tusubira, Francis Jeremy (Makerere university) |
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Nakatumba-Nabende, Joyce (Makerere University) |
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Babirye, Claire (Makerere University) |
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Okao-Okujja, Geoffrey (National Crops Resources Research Institute) |
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Mutebi, Chodrine (Makerere University) |
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Mugalu, Ben Wycliff (Makerere University) |
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Nabagereka, Deborah (Makerere University) |
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Namanya, Gloria (Makerere University) |
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Other identifications and acknowledgements: |
Nakatumba-Nabende, Joyce |
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Other identifications and acknowledgements: |
Tusubira, Francis Jeremy |
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Other identifications and acknowledgements: |
Babirye, Claire |
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Other identifications and acknowledgements: |
Okao-Okujja, Geoffrey |
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Other identifications and acknowledgements: |
Mugalu, Ben Wycliff |
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Other identifications and acknowledgements: |
Mutebi, Chodrine |
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Other identifications and acknowledgements: |
Nabagereka, Deborah |
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Other identifications and acknowledgements: |
Namanya, Gloria |
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Producer: |
Nakatumba-Nabende, Joyce |
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Tusubira-Francis, Jeremy |
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Grant Number: |
0328-S-001 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Makerere AI Lab |
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Access Authority: |
Tusubira, Francis Jeremy |
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Depositor: |
Lab, Makerere AI |
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Date of Deposit: |
2022-02-19 |
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Holdings Information: |
https://doi.org/10.7910/DVN/T4RB0B |
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Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science, Agricultural Sciences, Computer and Information Science, Cassava |
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Abstract: |
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 scientists, researchers, the wider machine learning community, and experts from other domains to conduct research into automating the identification and diagnosis of cassava crop diseases. The image dataset was collected across three different classes: Healthy, Cassava Brown Streak Disease (CBSD), and Cassava Mosaic Disease (CMD). |
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Kind of Data: |
Image Data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Cassava_Image_datasheet.pdf |
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Notes: |
application/pdf |
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Label: |
cbsd-1.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
cbsd-2.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
cmd_001.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
cmd_002.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
cmd_003.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
cmd_004.rar |
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Notes: |
application/vnd.rar |
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Label: |
cmd_005.rar |
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Notes: |
application/vnd.rar |
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Label: |
healthy_001.rar |
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Notes: |
application/x-rar-compressed |
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Label: |
healthy_002.rar |
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Notes: |
application/x-rar-compressed |