Datasets:

Project-AgML
/

date_grade_variety_classification

dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': grade-1
              '1': grade-2
              '2': grade-3
      - name: variety
        dtype: string
      - name: size
        dtype: string
    splits:
      - name: train
        num_bytes: 1016782882
        num_examples: 19229
    download_size: 1126800536
    dataset_size: 1016782882
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': grade-1
              '1': grade-2
              '2': grade-3
      - name: variety
        dtype: string
      - name: size
        dtype: string
    splits:
      - name: train
        num_bytes: 165723764
        num_examples: 3004
    download_size: 186265660
    dataset_size: 165723764
configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    default: true
    data_files:
      - split: train
        path: raw/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

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