Asparagus Packaging Recognition Dataset

With the advancement of agricultural modernization, the need for packaging detection of agricultural products such as asparagus is increasing. However, existing automatic recognition systems face challenges such as brand diversity and packaging complexity, leading to low recognition accuracy. This dataset aims to address the accuracy issues in target detection by collecting images of asparagus under different brands and packaging methods. The dataset includes various types of asparagus packaging images, carefully annotated and suitable for packaging detection and automatic recognition in retail scenarios. Data collection was conducted using high-resolution cameras in natural light and standardized environments, combined with both manual and automated annotation processes. For quality control, we implemented multiple rounds of annotation and expert review to ensure consistency and accuracy. Data storage uses JPG format, organized in a directory structure for quick access.