Lentil Plant Disease Image Dataset (4 Class)

The Lentil Plant Disease Image Dataset is a meticulously collected, organized, augmented, and preprocessed collection of high-resolution images designed to support research in plant pathology and machine learning. This dataset includes images of lentil plants affected by three common diseases—Ascochyta Blight, Lentil Rust, and Powdery Mildew—as well as healthy plants. Captured using a Samsung M31 smartphone, the images encompass various growth stages and lighting conditions, ensuring a comprehensive representation of symptoms. Data augmentation techniques, including rotation, width/height shift, shear, zoom, horizontal flipping, and brightness adjustment, have been applied to enhance the dataset's variability and robustness. The dataset is divided into training, testing, and validation sets with an 80-10-10 split, and it is meticulously labeled and organized. This makes it an invaluable resource for researchers and practitioners in the fields of computer science, artificial intelligence, computer vision, machine learning, deep learning, and agriculture.