Lettuce Crop Object Detection Dataset

The current agricultural industry faces challenges in precision and efficiency in crop monitoring. Traditional manual monitoring methods are inefficient and prone to errors. Most existing automated monitoring systems rely on limited datasets for training, resulting in insufficient model generalization and inability to adapt to applications in different environments. This dataset aims to provide a rich source of lettuce crop object detection data to help researchers and developers improve model accuracy and applicability. Data collection is conducted using drones and high-definition cameras in various environments to ensure data diversity and representativeness. Regarding quality control, multiple rounds of annotation and consistency checks are conducted to ensure data accuracy, and the data is ultimately stored in JPEG format, organized by image ID.