Project-AgML/BDMANGO_variety_classification

Bdmango Variety Classification

A dataset for variety classification of mangos based on their leaves. The dataset contains raw and augmented versions.
The raw dataset contains 837 images.
Images per class:

• Amrapali: 120
• Banana: 167
• Chaunsa: 150
• Fazli: 160
• Haribhanga: 120
• Himsagar: 120

The augmented dataset contains 5,859 images.
Images per class:

• Amrapali: 840
• Banana: 1,169
• Chaunsa: 1,050
• Fazli: 1,120
• Haribhanga: 840
• Himsagar: 840

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

Citation

@article{islam2025bdmango,
  title={BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves},
  author={Islam, Mohammad Manzurul and Ahmed, Md Jubayer and Shafi, Mahmud Bin and Das, Aritra and Hasan, Md Rakibul and Al Rafi, Abdullah and Rashid, Mohammad Rifat Ahmmad and Niloy, Nishat Tasnim and Ali, Md Sawkat and Chowdhury, Abdullahi and others},
  journal={Data in Brief},
  volume={58},
  pages={111241},
  year={2025},
  publisher={Elsevier}
}

Islam, Mohammad Manzurul; Das, Aritra; Hasan, Md. Rakibul; Rashid, Mohammad Rifat Ahmmad (2024), “Image Dataset of Bangladeshi Mango Leaf”, Mendeley Data, V5, doi: 10.17632/nnh69sng8p.5