Cabbage Pest Identification Dataset

The current agriculture industry faces a severe threat to crop yield and quality from pests, and traditional pest identification methods are inefficient and prone to errors, unable to meet the demands of modern agriculture for precise monitoring. Existing solutions often rely on manual identification, which is costly in terms of labeling and lacks real-time capabilities. This dataset aims to provide an efficient pest detection solution through image recognition technology, improving the intelligence level of agricultural production. The dataset contains various pest images, collected with high-definition cameras in different environments, with quality control to ensure labeling consistency and accuracy. The data is stored in JPEG format and organized in a folder structure for quick access and processing.