Project-AgML/jujube_bruise_classification

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