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.