---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': green
          '1': mature-green
          '2': ripe
  - name: variety
    dtype: string
  splits:
  - name: train
    num_bytes: 372990830
    num_examples: 2309
  download_size: 393008275
  dataset_size: 372990830
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Guava Maturity Classification

A dataset for maturity classification of three varieties of guava. The dataset contains 2,309 images across 3 classes: green, mature-green, ripe.  
Images per class:
- green: 232
- mature-green: 829
- ripe: 1,248

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

## Citation

```bibtex
@article{maitlo2023novel,
  title={A novel dataset of guava fruit for grading and classification},
  author={Maitlo, Abdul Khalique and Aziz, Abdul and Raza, Hassnian and Abbas, Neelam},
  journal={Data in Brief},
  volume={49},
  pages={109462},
  year={2023}
}
```

Maitlo, Abdul Khalique; Aziz, Abdul; Raza, Hassnain ; Abbas, Neelam (2023), “Guava Fruit  Dataset for Classification ”, Mendeley Data, V1, doi: 10.17632/w3fg8jjmzr.1

*This dataset was reformatted from its original format to match HuggingFace standards.*