Description
The dataset is curated image data of necrosis-bearing roots across different cassava varieties. The dataset contains images of cassava root cross-sections based on trial harvests from Uganda and Tanzania. The images were taken using a smartphone camera. The resulting dataset consists of 10,052 images making this the largest publicly available dataset for crop root necrosis.
Biological Information
Species: Cassava
Latin name: Manihot esculenta
Imaging tissue: Root
Function Information
Computer vision tasks: Image detection
Potential application: Quantification of root damage
Labeled instances: 1036
Label type: Semantic segmentation
Related traits: -
Imaging
Total number of images: 10052
Image format: JPEG
Average resolution: 1718×2205
Dataset size: 9.8G
Sampling geographic location: The Republic of Uganda; Tanzania
Acquisition
equipment: 12-megapixel smartphone cameras
Sampling platform: Handheld visible light camera in the field
Sensors: RGB (visible light imaging)
