Project-AgML/MangoImageBD_classification

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