Sugarcane Disease Dataset

Image dataset plays important role across various fields including computer vision machine learning and research. The dataset helps researchers, developers and professionals to train models and algorithms. This dataset will help farmers and researchers to identify, classify various sugarcane diseases affecting sugarcane. With help of analyzing the images the researcher can develop accurate disease detection algorithms and warning systems which will help preventing widespread crop damage and financial loss of farmers. The sugarcane disease dataset consists of 3358 high resolution images of sugarcane leaves and are stored in JPEG format. The dimension of the images is 1000 x 1000. Images categorized into 7 categories with five disease categories, a dried leaves and a healthy leaves category. Sugarcane dataset ensure that various common sugarcane diseases are covered ensuring easy access. Images having 96 DPI (dots per inch) collected through field visit and capturing from different angles. Images provided are clear and detailed visual representation of sugarcane samples.