Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Akbar-19 | |
| '1': Dilkash-20 | |
| '2': Urooj-22 | |
| - name: seed_id | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 31096678 | |
| num_examples: 1124 | |
| download_size: 31104631 | |
| dataset_size: 31096678 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 1K<n<10K | |
| # 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 | |
| ```bibtex | |
| @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.* | |