Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
1.08k
1.08k
label
class label
3 classes
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
0Disease
End of preview. Expand in Data Studio

Bay Leaf Disease Classification

A dataset for disease classification of bay leaves. The dataset contains 5,696 images across 3 classes: Disease, Dry Leaf, Healthy.
Images per class:

  • Disease: 1,477
  • Dry Leaf: 3,074
  • Healthy: 1,145

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

Citation

@article{paygude2024dataset,
  title={A dataset revolutionizing Indian bay leaf analysis},
  author={Paygude, Priyanka and Thite, Sandip and Kumar, Ajay and Bhosle, Amol and Pawar, Rajendra and Mane, Renuka and Joshi, Rahul and Kasar, Manisha and Chavan, Prashant and Gayakwad, Milind},
  journal={Data in Brief},
  volume={57},
  pages={111024},
  year={2024},
  publisher={Elsevier}
}

PAYGUDE, PRIYANKA; CHAVAN, PRASHANT; Gayakwad, Milind (2024), “Indian Bay Leaves or Cinnamomum Tamala Leaves Dataset”, Mendeley Data, V2, doi: 10.17632/s9t7sr52wg.2

Downloads last month
83