Weeding Operation Safety Inspection Dataset

The current agricultural sector faces dual challenges of operation safety and efficiency improvement. Traditional weeding methods are inefficient and prone to safety hazards. Existing monitoring technologies mostly rely on manual inspection, which is inefficient and error-prone. This dataset aims to assist in the development of intelligent detection systems by providing high-quality images for weeding operation safety inspection, to enhance operational safety and efficiency. Data collection uses high-resolution cameras to capture images in various farmland environments to ensure sample diversity. To guarantee data quality, a combination of multiple rounds of annotation and expert review is used to ensure the consistency and accuracy of annotations. Data is stored in JPEG format for easy storage and transmission.