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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.*
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