Processed Tomato Leaf Disease Image Dataset with Train-Validation-Test Split for Deep Learning Applications
收藏DataCite Commons2026-04-06 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/3zwdw6y4pn/1
下载链接
链接失效反馈官方服务：
资源简介：
This dataset is a processed and structured version of a tomato leaf disease image dataset derived from the PlantVillage dataset.
The dataset has been carefully preprocessed to improve data quality and usability for deep learning research. Several data cleaning and preparation steps have been applied, including the removal of blurred images, elimination of duplicate samples, selection of specific disease classes, and organization into train, validation, and test subsets.
The dataset contains six classes of tomato leaf conditions:
- Tomato___Bacterial_spot
- Tomato___Early_blight
- Tomato___Late_blight
- Tomato___Leaf_Mold
- Tomato___Septoria_leaf_spot
- Tomato___healthy
The dataset is organized as follows:
- Training set: 70%
- Validation set: 15%
- Test set: 15%
This dataset is suitable for image classification, deep learning, transfer learning, and agricultural disease detection research.
The preprocessing steps ensure improved model performance and provide a ready-to-use dataset for machine learning experiments.
提供机构：
Mendeley Data
创建时间：
2026-04-06
