RootNav2W

Potential Application: Root segmentation and species classification
Description

The dataset is composed of images of wheat seedlings totaling 3,526 images of 1,900×2,000 pixel resolution. Ground truth annotations for all plants were obtained using the original RootNav 1.0 software and stored in RSML format.

Biological Information
  • Species: Wheat
  • Latin name: Triticum aestivum
  • Imaging tissue: Root
  • Function Information
  • Computer vision tasks: Image detection
  • Potential application: Root segmentation and species classification
  • Labeled instances: 758819
  • Label type: Segmentation masks, image-level annotations
  • Related traits: -
  • Imaging
  • Total number of images: 3526
  • Image format: JPEG
  • Average resolution: 1738×2066
  • Sensors: RGB (visible light imaging)
  • Dataset size: 1.9G
  • Sampling geographic location: UK
  • Acquisition equipment: Nikon D5100 DSLR camera
  • Sampling platform: Controlled environment stationary platform
  • Citation
    90+ images in total    2/2