Title: WGSM

Potential Application: Classification of phenotypes
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Main Information
Description

The image dataset consists of 224 maize inbred lines covering nine growth stages by a high-throughput plant phenotyping platform. These images have two different capturing views, and the dataset can be used for variety identification using the training set and testing set.

Biological Information
  • Species: Maize
  • Latin name: Zea mays
  • Imaging tissue: Shoot
  • Function Information
  • Computer vision tasks: Image classification
  • Potential application: Classification of phenotypes
  • Labeled instances: 5599
  • Label type: Image-level annotations
  • Related traits: -
  • Imaging
  • Total number of images: 5599
  • Image format: PNG
  • Average resolution: 409×342
  • Dataset size: 537M
  • Sampling geographic location: Hebei province, China
  • Acquisition equipment: Basler piA 2400 camera (Basler AG, Ahrensburg, Germany)
  • Sampling platform: Controlled environment stationary platform
  • Sensors: RGB (visible light imaging)
  • Current Slide (image properties)