Plum/Jujube Leaf Disease Classification Dataset

This raw dataset consists of 2,210 images of Jujube leaves, categorized into five classes for disease classification:

Healthy: Leaves showing no visible signs of disease.

Anthracnose: Fungal infection characterized by dark lesions on leaves.

Insect Damage: Damage caused by insects, including holes and discoloration.

Powdery Mildew: A fungal disease marked by white, powdery spots on leaves.

Yellow Leaf: Leaves exhibiting yellowing, typically due to nutrient deficiencies or stress.

The dataset is raw and unprocessed, containing images in their original form. Each image has been categorized and verified by a professional agriculturalist (Approval is given inside) to ensure the accuracy of class labels. This dataset is ideal for training and testing machine learning models for leaf disease classification and can be further preprocessed for specific agricultural research and disease detection applications.