Project-AgML/wheat_seed_variety_classification

Wheat Seed Variety Classification

Single wheat seeds of three Pakistani varieties, Akbar-19, Dilkash-20 and Urooj-22, photographed at the University of Agriculture, Faisalabad, for varietal purity identification. After checking seed morphology under a microscope, the authors selected 125 seeds per variety and photographed each from the back, front and side with a Canon EOS 5D Mark III; this release holds the images resized to 256 x 256 (1,124 images). The label is the variety and seed_id groups the views of the same seed (A1-A125, D1-D125, U1-U125); which view each image shows is not recorded in the file names. The dataset contains 1,124 images across 3 classes: Akbar-19, Dilkash-20, Urooj-22.
Images per class:

• Akbar-19: 374
• Dilkash-20: 375
• Urooj-22: 375

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{nawaz2025high,
  title={High-resolution RGB image dataset for wheat seed varietal identification and purity assessment},
  author={Nawaz, Mehreen and Safder, Sadaf and Riaz, Shazia and Ali, Saqib},
  journal={Data in Brief},
  volume={61},
  pages={111690},
  year={2025},
  publisher={Elsevier}
}

The dataset itself can be cited as:

paal lab, precision lab. (2025). Varietal purity of wheat seeds dataset [Dataset]. Mendeley Data. https://doi.org/10.17632/W5248V9FK3.1

This dataset was reformatted from its original format to match HuggingFace standards.