Project-AgML/WaterHyacinth_variety_classification

WaterHyacinth Variety Classification

A dataset for variety classification of Water Hyacinth species. The dataset contains raw and augmented versions. The raw dataset contains 1,790 images. Images per class:

• —Common Duckweeds (Lemna minor): 390
• —Common Water Hyacinth (Eichornia crassipes): 470
• —Heartleaf False Pickerelweed (Monochoria korsakowii): 450
• —Water Lettuce (Pistia stratiotes): 480

The augmented dataset contains 4,050 images. Images per class:

• —Common Duckweeds (Lemna minor): 1,050
• —Common Water Hyacinth (Eichornia crassipes): 1,000
• —Heartleaf False Pickerelweed (Monochoria korsakowii): 1,000
• —Water Lettuce (Pistia stratiotes): 1,000

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

Citation

@article{kabir2024waterhyacinth,
  title={WaterHyacinth: a comprehensive image dataset of various water hyacinth species from different regions of Bangladesh},
  author={Kabir, Hasnain and Juthi, Taslima and Islam, Md Tarequl and Rahman, Md Wahidur and Khan, Rahat},
  journal={Data in Brief},
  volume={52},
  pages={109872},
  year={2024},
  publisher={Elsevier}
}

Kabir, Hasnain; Juthi, Taslima; Islam, Md. Tarequl; Rahman, Md. Wahidur; Khan, Rahat (2023), “WaterHyacinth: A Comprehensive Image Dataset of Various Water Hyacinth Species From Different Regions of Bangladesh.”, Mendeley Data, V1, doi: 10.17632/vz6z64nwby.1