Datasets:

Project-AgML
/

jujube_bruise_classification

configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_dir: raw
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': bruised
              '1': healthy
    splits:
      - name: train
        num_bytes: 158085790
        num_examples: 5856
    download_size: 162640687
    dataset_size: 158085790
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': bruised
              '1': healthy
    splits:
      - name: train
        num_bytes: 21335850
        num_examples: 1464
    download_size: 21612437
    dataset_size: 21335850

Jujube Bruise Classification

A dataset for bruise classification of jujube. The dataset contains both raw and augmented versions.
The raw dataset contains 1,464 images.
Images per class:

bruised: 732
healthy: 732

The augmented dataset contains 5,856 images.
Images per class:

bruised: 2928
healthy: 2928

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

Citation

@article{tabib2025jujubebruisenet,
  title={JujubeBruiseNet: A high-resolution image dataset for bruise detection in Ziziphus mauritiana},
  author={Tabib, Md Arham and Liza, Sumyia Sabrin and Rahman, Md Mizanur},
  journal={Data in Brief},
  pages={112031},
  year={2025},
  publisher={Elsevier}
}

Tabib, Md Arham; Liza, Sumyia Sabrin; Rahman, Md Mizanur (2025), “JujubeBruiseNet: A Dataset for Bruise Detection in Ziziphus mauritiana”, Mendeley Data, V5, doi: 10.17632/3mtdhrwgfr.5