Project-AgML/seasveg_classification_bd

Seasveg Classification Bd

A dataset for classification of seasonal vegetables in Bangladesh. The dataset contains raw and augmented versions.
The raw dataset contains 1,504 images.
Images per class:

• Abelmoschus esculentus: 150
• Brassica oleracea: 151
• Carica Papaya: 151
• Lablab purpureus: 151
• Momordica charantia: 151
• Momordica dioica: 150
• Raphanus sativus: 150
• Solanum Iycopersicum: 150
• Trichosanthes cucumerina: 150
• Trichosanthes dioica: 150

The augmented dataset contains 3,001 images.
Images per class:

• Abelmoschus esculentus: 300
• Brassica oleracea: 300
• Carica Papaya: 300
• Lablab purpureus: 300
• Momordica charantia: 300
• Momordica dioica: 300
• Raphanus sativus : 300
• Solanum Iycopersicum: 300
• Trichosanthes cucumerina: 300
• Trichosanthes dioica: 301

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

Citation

@article{bappy2024seasveg,
  title={SeasVeg: An image dataset of Bangladeshi seasonal vegetables},
  author={Bappy, Md Tusher Ahmad and Rabbi, Kazi Mehedi Hasan and Ahmed, Md Jonayed and Rahman, Wahidur and Zeesan, Mahin and Sadi, AHM Saifullah and Rahman, Mohammad Motiur},
  journal={Data in Brief},
  volume={55},
  pages={110564},
  year={2024},
  publisher={Elsevier}
}

Bappy, Md Tusher Ahmad; Hasan Rabbi, Kazi Mehedi ; Ahmed, Md Jonayed; Zeesan, Md Mahin; Rahman, Md. Wahidur (2023), “SeasVeg: An Image Dataset of Bangladeshi Seasonal Vegetables”, Mendeley Data, V1, doi: 10.17632/s6gyxb2cg9.1

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