Project-AgML/date_grade_variety_classification

Date Grade Variety Classification

A dataset for image classification of dates. The dataset contains augmented and raw versions. The augmented dataset contains 19,229 images. Images per class:

• grade-1: 11,724
• grade-2: 3,977
• grade-3: 3,528

The raw dataset contains 3,004 images. Images per class:

• grade-1: 1,784
• grade-2: 693
• grade-3: 527

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

Citation

@article{maitlo2024novel,
  title={A novel dataset of date fruit for inspection and classification},
  author={Maitlo, Abdul Khalique and Shaikh, Riaz Ahmed and Arain, Rafaqat Hussain},
  journal={Data in Brief},
  volume={52},
  pages={110026},
  year={2024},
  publisher={Elsevier}
}

Maitlo, Abdul Khalique; Shaikh, Riaz Ahmed; Arain, Rafaqat Hussain (2023), “Date Fruit Dataset for Inspection and Grading”, Mendeley Data, V3, doi: 10.17632/s5zfvsw5kv.3