Jute Leaf Disease Classification Dataset

This dataset contains 900 images of jute leaves, organized into three folders: Cercospora Leaf Spot, Golden Mosaic disease, and Healthy Leaf. Each folder represents one class and can be directly used for image classification and machine learning tasks. The images were collected from real-world conditions and show clear visual differences between healthy and diseased leaves, such as spots, color changes, and mosaic patterns. This makes the dataset suitable for research in plant disease detection, computer vision, and deep learning. An official Verification and Approval Form (PDF) is included with the dataset. This document confirms the authenticity and accuracy of the data and approves its use for research and educational purposes. This dataset can be used for training, testing, and evaluating machine learning models for agricultural and plant health applications.