Datasets:

Project-AgML
/

betel_leaf_disease_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Bacterial_Leaf_Disease
            '1': Dried_Leaf
            '2': Fungal_Brown_Spot_Disease
            '3': Healthy_Leaf
  splits:
    - name: train
      num_bytes: 6476375318
      num_examples: 3589
  download_size: 6067102967
  dataset_size: 6476375318
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

Betel Leaf Disease Classification

A dataset for image classification of Betel Leaf Disease Classification. The dataset contains 3,589 images across 4 classes: Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf.
Images per class:

Bacterial_Leaf_Disease: 906
Dried_Leaf: 898
Fungal_Brown_Spot_Disease: 892
Healthy_Leaf: 893

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

Citation

Rashid, Mohammad Rifat Ahmmad; Hossain, Md. Miskat ; Biswas, Joy ; Majumder, Hredoy (2024), “Betel Leaf Image Dataset from Bangladesh”, Mendeley Data, V2, doi: 10.17632/g7fpgj57wc.2