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. 包含受多种常见农业作物疾病（细菌性、真菌性、病毒性）影响的植物叶片图像。
2. 在严格控制条件下拍摄，确保了现实且多样化的真实世界场景。
3. 包含多种植物物种及其不同疾病阶段的图像。

植物叶片类型：
1. 葫芦（1147张）
2. 木槿（1328张）
3. 番木瓜（547张）
4. 黄瓜（1099张）

关键特性：
1. 图像数量：4121张
2. 增强图像数量：20956张
3. 文件格式：PNG，JPEG
4. 疾病类型：细菌性、真菌性和病毒性感染。

应用领域：
1. 机器学习：用于训练图像分类、检测和分割模型，以实现疾病识别。
2. 农业技术：支持移动应用和自动化系统的开发，用于实时植物健康监测。
3. 农业研究：有助于理解疾病对植物物种及其视觉症状的影响。