Project-AgML/centella_asiatica_leaves

Centella Asiatica Leaves

A dataset for image classification of Centella Asiatica Leaves. The dataset contains 9,094 images across 3 classes: Dried, Healthy, Unhealthy. Images per class:

• Dried: 2,996
• Healthy: 3,048
• Unhealthy: 3,050

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

Citation

@article{jadhav2024dataset,
  title={Dataset of Centella Asiatica leaves for quality assessment and machine learning applications},
  author={Jadhav, Rohini and Molawade, Mayuri and Bhosle, Amol and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
  journal={Data in Brief},
  volume={57},
  pages={111150},
  year={2024},
  publisher={Elsevier}
}

Suryawanshi, Yogesh; Wakode, Krishna; PATIL, Kailas; chumchu, prawit (2024), “Centella Asiatica Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/hrx2kgphy5.2