Agricultural Product Transportation Scene Dataset

The current agricultural industry faces challenges such as low transportation efficiency and high loss rates. Especially during the transportation of agricultural products, the damage rate significantly affects farmers' income. Existing solutions primarily rely on manual inspection, which is inefficient and error-prone, hence the urgent need for an efficient automated detection method. This dataset aims to provide fundamental data for object detection in agricultural product transportation scenarios to help develop automated monitoring systems. Data collection is performed using high-resolution cameras capturing agricultural product transportation scenes under various lighting and weather conditions, ensuring data diversity and representativeness. In terms of quality control, the data undergoes multiple rounds of annotation, consistency checks, and expert reviews to ensure annotation accuracy and consistency. Data storage is in JPG format organized into a folder structure for quick access and processing.