Pota-Toma-To leaf disease images dataset
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://data.mendeley.com/datasets/354fsxwccb
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资源简介：
This repository contains an image dataset of Potato and Tomato leaves, curated specifically for researchers developing hybrid or advanced crop disease detection systems. The dataset provides a foundation for training and evaluating computer vision models without revealing the specific proprietary architectures used in our ongoing research.
Dataset Details:
Target Crops: Potato and Tomato
Classes Included: Early Blight, Late Blight, and Healthy leaves.
Total Images: 435 images across all categories.
Repository Structure:
Raw_Dataset: Contains the original RGB images collected for the study.
Advanced_Processed_Dataset: Contains images that have undergone advanced pre-processing techniques (including structural enhancement and noise reduction) to improve lesion visibility for machine learning applications.
Database_Description: A text file detailing the exact image distribution per class.
创建时间：
2026-04-07
