Suction Hook Slot Installation Detection Dataset

The current retail e-commerce industry is facing issues of low efficiency in automated assembly. Traditional assembly methods rely on manual labor, which is prone to errors and is not very efficient. Existing solutions often depend on simple image recognition technology, which cannot meet the precise detection needs in complex environments. This dataset aims to solve slot detection issues in the automated assembly process by providing high-quality object detection data, thus improving overall assembly efficiency. The dataset construction involves acquiring images with various devices in different environments to ensure data diversity and representativeness. We implemented multiple rounds of annotation and consistency checking mechanisms to ensure high data quality, and conducted expert reviews. The data is stored in JPG format, organized by image ID for easy invocation and analysis.