A Comprehensive dataset on diseases affecting rose leaves: Identification, Symptoms, and Control Strategies
收藏NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/hmjtdzkfh3
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资源简介：
A Comprehensive dataset on diseases affecting rose leaves: contains 3,113 high-resolution images and 15,500 augmented images (resized to 640x480) of rose leaves, categorized by disease type to assist in identification and control strategy research. The dataset is designed for training deep learning and machine learning models and studying plant pathology, pest management, and disease prevention in rose cultivation. The images were taken from October 30 - November 6, 2024 , approximately 8 days.
Total Original Images: 3,113 images
Total Augmented Images: 15,500 images
Resolution: Resized to 640x480 pixels
Categories: Four disease classes
Class 1: Black Spot
Class 2: Healthy Leaf
Class 3: Dry Leaf
Class 4: Leaf Holes
Image Count per Class: At least 300 images per category in original data
Purpose: Disease detection, research in plant pathology, and development of control strategies
创建时间：
2024-12-02
