HILL SPROUT KANGRA STRAWBERRY LEAF DATSET BY AVINASH SAHRMA

The Strawberry Leaf Disease Image Dataset, copyrighted by Avinash Sharma, is a real-world image dataset developed for research and applications in deep learning, computer vision, and automated strawberry leaf disease detection. The dataset consists of approximately 8790 images of strawberry leaves captured from real plants at Hill Sprout Farms, Palampur, Himachal Pradesh, India. The dataset represents three major categories of strawberry leaves: Healthy Leaves – Images of strawberry leaves showing normal and healthy growth without visible disease symptoms. Leaf Scorch – Images showing characteristic symptoms of strawberry leaf scorch. Leaf Blight – Images representing strawberry leaves affected by leaf blight. A key feature of this dataset is that the images were captured under real-world agricultural conditions rather than being collected exclusively in controlled laboratory environments. The photographs were taken in natural daylight under different atmospheric and environmental conditions, resulting in variations in illumination, shadows, leaf orientation, and image appearance. The dataset also preserves the natural backgrounds and surrounding farm environment, making it more representative of conditions encountered during practical field-level disease identification.