Farmer and Agricultural Tools Interaction Dataset

The current agricultural industry faces challenges such as labor shortages and low crop management efficiency. Traditional agricultural monitoring methods often rely on manual labor, which is inefficient and prone to errors. Existing object detection solutions perform inadequately in scenarios involving interactions between tools and farmers, lacking specificity. This dataset aims to provide high-quality images of farmer-tool interactions to improve the accuracy and robustness of object detection models in agricultural scenarios. Data collection is carried out with high-resolution cameras in real agricultural environments, covering various weather and lighting conditions. For quality control, multiple rounds of annotation and expert reviews ensure data accuracy and consistency. Data is stored in JPEG format and organized by category and scenario.