Description
The dataset covers healthy cassava leaves and four common diseases, which were crowdsourced from approximately 200 farmers with farms located in different parts of Uganda. Although the images were captured with the same type of phone, images from each farm can have various characteristics.
Biological Information
Species: Cassava
Latin name: Manihot esculenta
Imaging tissue: Shoot
Function Information
Computer vision tasks: Image classification
Potential application: Identification and classification of biotic stress
Labeled instances: 21397
Label type: Image-level annotations
Related traits: -
Imaging
Total number of images: 21397
Image format: JPEG
Average resolution: 800×600
Dataset size: 5.8G
Sampling geographic location: The Republic of Uganda
Acquisition
equipment: Smart phones
Sampling platform: Handheld visible light camera in the field
Sensors: RGB (visible light imaging)
