---
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

```bibtex
@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.*