A Comprehensive Frangipani Leaf Image Dataset for Disease Detection and Classification
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://data.mendeley.com/datasets/n655rv7xv5
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资源简介：
The Frangipani Leaf Image Dataset is a curated and structured collection of images aimed at advancing research in computer vision, machine learning, and deep learning for plant disease identification and classification. This dataset contains high-quality images of Frangipani leaves, both healthy and diseased, to support the development of automated early disease detection systems in agriculture.
Dataset Structure
Original:
-NUmber of images:1,789
-Formate:jpeg,.jpg
Preprocessed:
-NUmber of images:1,789
-Formate:jpeg,.jpg
Augmented:
-NUmber of images:10,500
-Formate:jpeg,.jpg
Augmentation Techniques Used
To increase dataset diversity and enhance model generalization, the following augmentation techniques were applied:
Rotation,Flipping,Brightness Adjustment,Contrast Adjustment,Blurring,Shearing,Scaling.
Use Case and Impact
Early Disease Detection: Enables real-time diagnosis through automated models, reducing reliance on manual inspections.
Sustainable Agriculture: Facilitates precision treatment and reduces excessive pesticide use.
Mobile & IoT Integration: Supports the development of lightweight models for field-deployable applications in smart farming systems.
创建时间：
2025-07-07
