Datasets:

Project-AgML
/

centella_asiatica_leaves

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Dried
            '1': Healthy
            '2': Unhealthy
  splits:
    - name: train
      num_bytes: 1671389835
      num_examples: 9094
  download_size: 1640657457
  dataset_size: 1671389835

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