Description
This dataset contains images of maize (Zea mays L.) leaves taken with a camera mounted on a small unmanned aircraft system (sUAS, commonly known as a drone). Lesions of northern leaf blight (NLB) were annotated in each image by one of two experts. The dataset contains 7,669 images annotated with 42,117 NLB lesions.
Biological Information
Species: Maize
Latin name: Zea mays
Imaging tissue: Leaf
Function Information
Computer vision tasks: Image detection
Potential application: Identification of northern leaf blight infected plants
Labeled instances: 42117
Label type: Line and spline annotation of lesions
Related traits: -
Imaging
Total number of images: 7669
Image format: JPEG
Average resolution: 6000×4000
Dataset size: 50G
Sampling geographic location: Cornell University’s Musgrave Research Farm in Aurora,
NY, USA
Acquisition
equipment: A camera mounted on a small unmanned aircraft system (DJI Matrice 600)
Sampling platform: UAV (unmanned aerial vehicle)
Sensors: RGB (visible light imaging)
