Grape Leaf dataset for leaf Health Classification and Disease Detection

#This dataset is a comprehensive collection of grape leaf images designed for disease identification and leaf health classification in agricultural research. It includes both raw and augmented data, making it suitable for training machine learning models for disease detection and precision agriculture applications.

#Total images: 18,000 high-resolution grape leaf images
Raw Data:
Healthy Leaf: 837 images
Brown Spot: 781 images
Mites: 400 images
Black Rot: 590 images
Downy Mildew: 392 images
#Augmented Data:
Healthy Leaf: 5,022 images
Brown Spot: 4,686 images
Mites: 2,400 images
Black Rot: 3,540 images
Downy Mildew: 2,352 images
#Use cases: Disease detection, healthy crop management, and leaf health monitoring
#Applicable for: Binary and multi-class classification for machine learning models in precision agriculture.