Datasets:

Project-AgML
/

mangifera2012_variety_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Amrapali
            '1': Bari-4
            '2': Bari-7
            '3': Fazlee
            '4': Harivanga
            '5': Kanchon Langra
            '6': Katimon
            '7': Langra
            '8': Mollika
            '9': Nilambori
  splits:
    - name: train
      num_bytes: 3170873222
      num_examples: 2012
  download_size: 3269490389
  dataset_size: 3170873222
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

Mangifera2012 Variety Classification

A dataset for variety classification of mangoes. The dataset contains 2,012 images across 10 classes:
Images per class:

Amrapali: 252
Bari-4: 235
Bari-7: 176
Fazlee: 156
Harivanga: 202
Kanchon Langra: 210
Katimon: 163
Langra: 202
Mollika: 221
Nilambori: 195

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

Citation

@article{bharati2025comprehensive,
  title={A comprehensive image dataset of Bangladeshi mango variety},
  author={Bharati, Rup Kumar and Islam, Md Masudul and Sheikh, Md Ripon and Himel, Galib Muhammad Shahriar},
  journal={Data in Brief},
  volume={60},
  pages={111560},
  year={2025},
  publisher={Elsevier}
}

Sheikh, Md Ripon; Islam, Md Masudul; Himel, Galib Muhammad Shahriar (2024), “Mangifera2012: An Image Dataset of Various Bangladeshi Mangoes”, Mendeley Data, V1, doi: 10.17632/w5jg84txj8.1

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