---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Bacterial Spot
          '1': Early Blight
          '2': Healthy
          '3': Late Blight
          '4': Leaf Mold
          '5': Septoria Leaf Spot
          '6': Spider Mites Two-spotted Spider Mite
          '7': Target Spot
          '8': Tomato Mosaic Virus
          '9': Tomato Yellow Leaf Curl Virus
  splits:
  - name: train
    num_bytes: 142241499
    num_examples: 11000
  download_size: 187050355
  dataset_size: 142241499
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# Tomato Leaf Disease

A dataset for image classification of Tomato Leaf Disease. The dataset contains 11,000 images across 10 classes: Bacterial Spot, Early Blight, Healthy, Late Blight, Leaf Mold, Septoria Leaf Spot, Spider Mites Two-spotted Spider Mite, Target Spot, Tomato Mosaic Virus, Tomato Yellow Leaf Curl Virus.  
Images per class:
- Bacterial Spot: 1,100
- Early Blight: 1,100
- Healthy: 1,100
- Late Blight: 1,100
- Leaf Mold: 1,100
- Septoria Leaf Spot: 1,100
- Spider Mites Two-spotted Spider Mite: 1,100
- Target Spot: 1,100
- Tomato Mosaic Virus: 1,100
- Tomato Yellow Leaf Curl Virus: 1,100

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

## Citation

https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf