Agricultural Labor Teaching Dataset

The current agricultural sector faces challenges in labor skills transmission and education, especially in remote areas lacking systematic teaching resources and tools. Existing teaching methods largely rely on traditional oral transmission, which is inefficient and has a limited reach, failing to meet the demands of modern agricultural development. Therefore, this dataset aims to provide a comprehensive agricultural labor teaching resource, using object detection technology to help students and farmers better learn and master agricultural skills. The dataset contains diverse agricultural labor scenes, with data collected using high-resolution cameras in the fields to ensure data authenticity and diversity. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with all data reviewed by experts to ensure the accuracy of annotations. Data is stored in JPG format, organized by category and scene for easy retrieval and use.