Grape Destemming Task Status Classification Dataset

The current agricultural industry faces challenges of labor shortages and low production efficiency. Traditional manual monitoring of task status is not only time-consuming but also prone to errors. Existing solutions largely rely on manual inspection, lacking automated detection methods, leading to delayed task progress updates. To improve operation efficiency and accuracy, this dataset aims to provide high-quality image data support for the automated monitoring of grape destemming task status. The data is collected using high-resolution cameras under natural light conditions, covering different environments and task statuses. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, and all annotations were reviewed by agricultural experts. The data is stored in JPEG format and organized by task status classification. Through this approach, we ensure high data quality and usability.