Project-AgML/pomegranate_disease_classification_india

Pomegranate Disease Classification India

A dataset for disease classification of Pomegranate fruits. The dataset contains 5,099 images across 5 classes: Alternaria, Anthracnose, Bacterial_Blight, Cercospora, Healthy.
Images per class:

• Alternaria: 886
• Anthracnose: 1,166
• Bacterial_Blight: 966
• Cercospora: 631
• Healthy: 1,450

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

Citation

@article{pakruddin2024comprehensive,
  title={A comprehensive standardized dataset of numerous pomegranate fruit diseases for deep learning},
  author={Pakruddin, B and Hemavathy, R},
  journal={Data in Brief},
  volume={54},
  pages={110284},
  year={2024},
  publisher={Elsevier}
}

B, Pakruddin; R, Dr. Hemavathy (2023), “Pomegranate Fruit Diseases Dataset for Deep Learning Models”, Mendeley Data, V1, doi: 10.17632/b6s2rkpmvh.1