README.md

---
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 

```bibtex
@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