Description
The dataset is weed detection in soybean crop images and classifies these weeds among grass and broadleaf, aiming to apply the specific herbicide to the weed detected. The dataset involves over fifteen thousand images of the soil, soybean, broadleaf, and grass weeds.
Biological Information
Species: Soybean
Latin name: Glycine max
Imaging tissue: Shoot
Function Information
Computer vision tasks: Image detection
Potential application: Identification and segmentation of crops and weeds
Labeled instances: 15336
Label type: Segmentation masks
Related traits: -
Imaging
Total number of images: 15336
Image format: TIFF
Average resolution: 247×241
Dataset size: 1.2G
Sampling geographic location: Brazil
Acquisition
equipment: Phantom DJI 3
Professional drone, Sony EXMOR 1/2.3″
Sampling platform: UAV (unmanned aerial vehicle)
Sensors: RGB (visible light imaging)
