Farmland Pest Species Recognition Dataset

The current agricultural industry is facing the serious issue of pest invasions. Traditional identification methods often rely on manual observation, which is inefficient and prone to errors. Existing solutions lack sufficient sample data, leading to poor model training effectiveness. This dataset aims to provide abundant farmland pest samples to help AI systems improve their ability to identify pest species. The dataset includes various common farmland pests and their leaf feeding traces, facilitating object detection and classification tasks. Data collection is conducted using high-resolution cameras in natural light environments to ensure image clarity. In terms of quality control, multiple rounds of annotation and expert reviews are conducted to ensure annotation consistency and accuracy. Data is stored in JPEG format and organized by image ID for efficient retrieval and use.