Project-AgML/mangifera2012_variety_classification

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.