Description
The present dataset encompasses a set of five discrete cultivars of rice, namely Arborio, Basmati, Ipsala, Jasmine, and Karacadag. It comprises a compendium of 75,000 images of rice kernels and is categorized to classify rice grains following their respective variety.
Biological Information
Species: Rice
Latin name: Oryza sativa
Imaging tissue: Grain
Function Information
Computer vision tasks: Image classification
Potential application: Identification of rice grain varieties
Labeled instances: 75000
Label type: Image-level annotations
Related traits: -
Imaging
Total number of images: 75000
Image format: JPEG
Average resolution: 250×250
Dataset size: 219M
Sampling geographic location: -
Acquisition
equipment: Ikegami brand CCD imaging sensor
Sampling platform: Controlled environment stationary platform
Sensors: RGB (visible light imaging)
