Datasets:

Project-AgML
/

Hibiscus_Tea_disease_classification

configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_dir: raw
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Tea Algal Spotout
              '1': Tea Brown Blight
              '2': Hibiscus Citruspot
              '3': Hibiscus Early_Mild_Spotting
              '4': Hibiscus Fungal
              '5': Tea Grey Blight
              '6': Hibiscus Healthy
              '7': Hibiscus Mild_Edge__Damage
              '8': Tea Red Spot
              '9': Hibiscus Senescent
              '10': Hibiscus Slightly_Diseased
              '11': Hibiscus Wrinkled_Leaf
      - name: crop_type
        dtype: string
    splits:
      - name: train
        num_bytes: 496814360
        num_examples: 12417
    download_size: 4348120249
    dataset_size: 496814360
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Tea Algal Spot
              '1': Tea Brown Blight
              '2': Citruspot
              '3': Early_Mild_Spotting
              '4': Fungal_Infected
              '5': Tea Grey Blight
              '6': Healthy
              '7': Mild_Edge_Damage
              '8': Tea Red Spot
              '9': Senescent
              '10': Slightly_Diseased
              '11': Wrinkled_Leaf
      - name: crop_type
        dtype: string
    splits:
      - name: train
        num_bytes: 157286021
        num_examples: 1411
    download_size: 680054667
    dataset_size: 157286021

Hibiscus Tea Disease Classification

A dataset for disease classification of Hibiscus and Tea leaves. The dataset contains raw and augmented versions.
The raw dataset contains 1,411 images.
Images per class:

Tea Algal Spot: 54
Tea Brown Blight: 48
Citruspot: 150
Early_Mild_Spotting: 83
Fungal_Infected: 28
Tea Grey Blight: 53
Healthy: 473
Mild_Edge_Damage: 226
Tea Red Spot: 44
Senescent: 40
Slightly_Diseased: 109
Wrinkled_Leaf: 55

The augmented dataset contains 12,417 images.
Images per class:

Tea Algal Spotout: 1,000
Tea Brown Blight: 1,000
Hibiscus Citruspot: 1,000
Hibiscus Early_Mild_Spotting: 417
Hibiscus Fungal: 1,000
Tea Grey Blight: 1,000
Hibiscus Healthy: 1,000
Hibiscus Mild_Edge__Damage: 1,000
Tea Red Spot: 1,000
Hibiscus Senescent: 1,000
Hibiscus Slightly_Diseased: 1,000
Hibiscus Wrinkled_Leaf: 1,000

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

Citation

@article{billah2025comprehensive,
  title={A comprehensive combined dataset on Hibiscus and Tea plant leaf disease images for classifications.},
  author={Billah, Md Masum and Sagor, Saifuddin and Uddin, Mohammad Shorif},
  journal={Data in Brief},
  pages={112357},
  year={2025},
  publisher={Elsevier}
}

Billah, Md Masum; Sagor, Saifuddin ; Shorif Uddin, Mohammad; Hossain, Shahariar (2025), “A Real-World Hibiscus and Tea Leaf Image Dataset for Classification”, Mendeley Data, V4, doi: 10.17632/5bzy89brkv.4