Datasets:

Project-AgML
/

seasveg_classification_bd

dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Abelmoschus esculentus
              '1': Brassica oleracea
              '2': Carica Papaya
              '3': Lablab purpureus
              '4': Momordica charantia
              '5': Momordica dioica
              '6': 'Raphanus sativus '
              '7': Solanum Iycopersicum
              '8': Trichosanthes cucumerina
              '9': Trichosanthes dioica
    splits:
      - name: train
        num_bytes: 2395180200
        num_examples: 3001
    download_size: 2746689454
    dataset_size: 2395180200
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Abelmoschus esculentus
              '1': Brassica oleracea
              '2': Carica Papaya
              '3': Lablab purpureus
              '4': Momordica charantia
              '5': Momordica dioica
              '6': Raphanus sativus
              '7': Solanum Iycopersicum
              '8': Trichosanthes cucumerina
              '9': Trichosanthes dioica
    splits:
      - name: train
        num_bytes: 1901531858
        num_examples: 1504
    download_size: 2633995574
    dataset_size: 1901531858
configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_files:
      - split: train
        path: raw/train-*
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

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.