Datasets:

Project-AgML
/

guava_maturity_classification

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

@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.