Description
The dataset consists of multispectral ortho mosaic images covering 16,550m2 sugar beet fields collected by five-band RedEdge-M and four-band Sequoia cameras in Rheinbach (Germany) and Eschikon (Switzerland). The spatiotemporal datasets contain high-resolution multispectral sugar beet/weed images with expert labeling.
Biological Information
Species: Sugar beet
Latin name: Beta vulgaris
Imaging tissue: Shoot
Function Information
Computer vision tasks: Image detection
Potential application: Identification and segmentation of crops and weeds
Labeled instances: 5017
Label type: Semantic segmentation
Related traits: -
Imaging
Total number of images: 18736
Image format: PNG
Average resolution: 507×388
Dataset size: 4.2G
Sampling geographic location: Switzerland; Germany
Acquisition
equipment: Five-band RedEdge-M and four-band Sequoia cameras in Rheinbach (Germany) and Eschikon (Switzerland)
Sampling platform: UAV (unmanned aerial vehicle)
Sensors: NIR (near infrared)
