Datasets:

Project-AgML
/

Luffa_flowers

dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 213191688
      num_examples: 362
  download_size: 213207032
  dataset_size: 213191688
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
size_categories:
  - n<1K

Luffa Flowers

This dataset comprises real-world RGB images of luffa flowers captured in natural agricultural field conditions in Binokdia, Faridpur, Bangladesh. Images were collected using a handheld smartphone camera during October 2023, providing unprocessed field-level visual data for computer vision analysis in crop health monitoring contexts. The dataset contains 362 images with no classification, segmentation, or bounding-box annotations.

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

Citation

@article{sheikh2024luffafolio,
  title={LuffaFolio: A Multidimensional Image Dataset of Smooth Luffa},
  author={Sheikh, Md Ripon and Islam, Md. Masudul and Himel, Galib Muhammad Shahriar},
  journal={Data in Brief},
  volume={53},
  pages={110149},
  year={2024},
  publisher={Elsevier}
}

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