Marking of corn seedling leaves

It includes photographs of corn seedlings captured under various conditions, with each image accompanied by manual annotations indicating leaf regions or key points. The annotation data covers the boundary positions of leaves, numbering, and relevant growth status information, facilitating tasks such as leaf detection, morphological analysis, and disease identification.

This dataset is suitable for training and testing machine learning and deep learning models, providing robust data support for intelligent agriculture applications related to monitoring and managing the growth of corn seedlings.