Datasets:
metadata
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.