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metadata
configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: original
    default: true
    data_dir: original
  - config_name: real_virtual
    data_dir: real_virtual
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': Amrapali
              '1': Ashshina Classic
              '2': Ashshina Zhinuk
              '3': Banana Mango
              '4': Bari-11
              '5': Bari-4
              '6': Fazli Classic
              '7': Fazli Shurmai
              '8': Gourmoti
              '9': Harivanga
              '10': Himsagor
              '11': Katimon
              '12': Langra
              '13': Rupali
              '14': Shada
    splits:
      - name: train
        num_bytes: 1222103312
        num_examples: 17109
    download_size: 1142860096
    dataset_size: 1222103312
  - config_name: original
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Amrapali
              '1': Ashshina Classic
              '2': Ashshina Zhinuk
              '3': Banana Mango
              '4': Bari-11
              '5': Bari-4
              '6': Fazli Classic
              '7': Fazli Shurmai
              '8': Gourmoti
              '9': Harivanga
              '10': Himsagor
              '11': Katimon
              '12': Langra
              '13': Rupali
              '14': Shada
  - config_name: real_virtual
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Amrapali
              '1': Ashshina Classic
              '2': Ashshina Zhinuk
              '3': Banana Mango
              '4': Bari-11
              '5': Bari-4
              '6': Fazli Classic
              '7': Fazli Shurmai
              '8': Gourmoti
              '9': Harivanga
              '10': Himsagor
              '11': Katimon
              '12': Langra
              '13': Rupali
              '14': Shada

Mango Classification

A dataset for classification of mango varieties. There are three configs: original data, real_virtual, which contains a combination of real and virtual backgrounds, and the augmented dataset.
The original and real_virtual datasets contains 5,703 images.
Images per class:

  • Amrapali: 135
  • Ashshina Classic: 571
  • Ashshina Zhinuk: 1286
  • Banana Mango: 83
  • Bari-11: 1244
  • Bari-4: 74
  • Fazli Classic: 171
  • Fazli Shurmai: 247
  • Gourmoti: 630
  • Harivanga: 265
  • Himsagor: 106
  • Katimon: 424
  • Langra: 120
  • Rupali: 184
  • Shada: 163

The augmented version contains 17,109 images.
Images per class:

  • Amrapali: 405
  • Ashshina Classic: 1713
  • Ashshina Zhinuk: 3858
  • Banana Mango: 249
  • Bari-11: 3732
  • Bari-4: 222
  • Fazli Classic: 513
  • Fazli Shurmai: 741
  • Gourmoti: 1890
  • Harivanga: 795
  • Himsagor: 318
  • Katimon: 1272
  • Langra: 360
  • Rupali: 552
  • Shada: 489

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

Citation

@article{ferdaus2025mangoimagebd,
  title={Mangoimagebd: An extensive mango image dataset for identification and classification of various mango varieties in bangladesh},
  author={Ferdaus, Md Hasanul and Prito, Rizvee Hassan and Ahmed, Masud and Islam, Mohammad Manzurul and Ali, Md Sawkat and Ibrahim, Muhammad and Rasel, Ahmed Abdal Shafi and Islam, Maheen and Jabid, Taskeed and Rahman, Md Atiqur and others},
  journal={Data in Brief},
  pages={111908},
  year={2025},
  publisher={Elsevier}
}

Ferdaus, Md Hasanul; Prito, Rizvee Hassan; Ahmed, Masud ; Rahoman, Md Mizanur; Islam, Mohammad Manzurul; Ali, Sawkat; Islam, Maheen; Rasel, Ahmed Abdal Shafi; Rahman, Md. Atiqur; Jabid, Taskeed; Ibrahim, Muhammad (2024), “MangoImageBD: An Extensive Image Dataset of Common and Popular Mango Varieties in Bangladesh for Identification and Classification”, Mendeley Data, V2, doi: 10.17632/hp2cdckpdr.2