Plant Leaf Disease Recognition Dataset

Dataset Overview:
1. Contains images of plant leaves affected by various diseases (bacterial, fungal, viral) commonly found in agricultural crops.
2. Captured under controlled conditions, ensuring realistic and diverse real-world scenarios.
3. Includes images from multiple plant species and varying disease stages.

Types of Plant Leafs:
1. Gourd (1147)
2. Hibiscus (1328)
3. Papaya (547)
4. Zucchini (1099)

Key Features:
1. Number of Images: 4121
2. Number of Augmented Images: 20956
3. File Formats: PNG, JPEG
4. Disease Types: Bacterial, fungal, and viral infections.
Applications:
1. Machine Learning: Used for training models in image classification, detection, and segmentation for disease recognition.
2. Agriculture Technology: Supports the development of mobile apps and automated systems for real-time plant health monitoring.
3. Agricultural Research: Helps in understanding the impact of diseases on plant species and their visual symptoms.

数据集概览
1. 包含多种农作物常见的受细菌性、真菌性、病毒性病害侵染的植物叶片图像。
2. 在可控环境条件下采集，确保图像兼具真实感与多样化的真实应用场景。
3. 涵盖多种植物物种以及不同病害发展阶段的叶片图像。

植物叶片类别
1. 葫芦（1147）
2. 木槿（1328）
3. 番木瓜（547）
4. 西葫芦（1099）

核心特征
1. 图像总数量：4121张
2. 增强图像总数量：20956张
3. 文件格式：PNG、JPEG
4. 病害类型：细菌性、真菌性及病毒性侵染病害

应用场景
1. 机器学习：可用于训练病害识别相关的图像分类、目标检测与图像分割模型。
2. 农业技术：助力开发用于实时植物健康监测的移动应用与自动化监测系统。
3. 农业研究：有助于探究病害对不同植物物种的影响及其对应的视觉症状特征。